Welcome to DataRadar.IO

DataRadar.IO RSS FEED


DataRadar.IO - Do you have enough data about your #data?

RSS Feed Explorer

Do you have enough data about #Data ?




# Article's Name Publication Date Link
1197 DataRadar.io become FeedCrunch.io - Create now your personalized feed ! ~ (www.feedcrunch.io) 2016/09/24 13:11 Link
1196 Deep Learning Glossary - Machine Learning Tutorials ~ (www.cse.unsw.edu.au) 2016/06/28 14:38 Link
1195 Deep Learning Glossary ~ (www.wildml.com) 2016/06/28 14:36 Link
1194 Deep Learning and Neural Network Glossary ~ (deeplearning4j.org) 2016/06/28 14:36 Link
1193 Get an early look at SQL Server on Linux ~ (www.microsoft.com) 2016/06/22 18:00 Link
1192 How to use data analysis for machine learning - Part 1 ~ (www.sharpsightlabs.com) 2016/06/22 10:16 Link
1191 How to use data analysis for machine learning - Part 2 ~ (www.sharpsightlabs.com) 2016/06/22 10:16 Link
1189 The real prerequisite for machine learning isn’t math, it’s data analysis ~ (www.sharpsightlabs.com) 2016/06/22 10:15 Link
1188 Ten Simple Rules for Effective Statistical Practice ~ (journals.plos.org) 2016/06/22 10:11 Link
1187 Computer Vision Algorithms and APIs ~ (algorithmia.com) 2016/06/22 09:59 Link
1186 Can Deep Learning Techniques Improve Entity Linking? ~ (fr.slideshare.net) 2016/06/22 09:58 Link
1185 Deep Learning Software ~ (developer.nvidia.com) 2016/06/22 09:57 Link
1184 DL4NLP: Deep Learning for Natural Language Processing ~ (github.com) 2016/06/22 09:53 Link
1183 5 More arXiv Deep Learning Papers, Explained ~ (www.kdnuggets.com) 2016/06/22 09:53 Link
1182 Top 5 arXiv Deep Learning Papers, Explained ~ (www.kdnuggets.com) 2016/06/22 09:53 Link
1181 ParaText: CSV parsing at 2.5 GB per second ~ (www.wise.io) 2016/06/22 09:50 Link
1180 Keras and Theano Deep Learning Frameworks ~ (www.microway.com) 2016/06/22 08:50 Link
1179 Building a deep learning GPU machine ~ (deeplearning20.tumblr.com) 2016/06/22 08:48 Link
1178 Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning ~ (github.com) 2016/06/22 08:45 Link
1177 How To Build and Use a Multi GPU System for Deep Learning ~ (timdettmers.com) 2016/06/22 08:42 Link
1176 Optimization Methods for Large-Scale Machine Learning ~ (arxiv.org) 2016/06/21 22:45 Link
1175 Survey of Clustering Data Mining Techniques ~ (www.cc.gatech.edu) 2016/06/21 22:43 Link
1174 Can DGraph really scale ? ~ (blog.dgraph.io) 2016/06/21 22:43 Link
1173 Fundamentals of Apache Spark - Scala & Python ~ (www.supergloo.com) 2016/06/21 22:42 Link
1172 How to Compare Apples and Oranges? : Part I ~ (blog.clevertap.com) 2016/06/21 22:41 Link
1171 How to Compare Apples and Oranges ? : Part II ~ (blog.clevertap.com) 2016/06/21 22:41 Link
1170 Using Learning Rate Schedules for Deep Learning Models in Python with Keras ~ (machinelearningmastery.com) 2016/06/21 22:37 Link
1169 An overview of gradient descent optimization algorithms ~ (sebastianruder.com) 2016/06/21 14:03 Link
1168 Mining Twitter Data with Python (Part 1: Collecting data) ~ (marcobonzanini.com) 2016/06/20 23:46 Link
1167 Mining Twitter Data with Python (Part 2: Text Pre-processing) ~ (marcobonzanini.com) 2016/06/20 23:46 Link
1166 Mining Twitter Data with Python (Part 3: Term Frequencies) ~ (marcobonzanini.com) 2016/06/20 23:45 Link
1165 Mining Twitter Data with Python (Part 4: Rugby and Term Co-occurrences) ~ (marcobonzanini.com) 2016/06/20 23:44 Link
1164 Mining Twitter Data with Python: Part 5 – Data Visualisation Basics ~ (marcobonzanini.com) 2016/06/20 23:44 Link
1163 Mining Twitter Data with Python (Part 6 – Sentiment Analysis Basics) ~ (marcobonzanini.com) 2016/06/20 23:44 Link
1162 Mining Twitter Data with Python (and JS) – Part 7: Geolocation and Interactive Maps ~ (marcobonzanini.com) 2016/06/20 23:44 Link
1161 A Tour of the Weka Machine Learning Workbench ~ (machinelearningmastery.com) 2016/06/20 23:30 Link
1160 Picking SQL or NoSQL? - A Compose View ~ (compose.io) 2016/06/20 23:30 Link
1159 OpenAI technical goals ~ (openai.com) 2016/06/20 23:22 Link
1158 OpenAI - Generative Models ~ (openai.com) 2016/06/20 18:59 Link
1157 A Large Dataset of Object Scans ~ (redwood-data.org) 2016/06/20 18:57 Link
1156 Imageflow is open-source software which scales, edits, and optimizes images. ~ (www.imageflow.io) 2016/06/20 18:55 Link
1155 Tensorflow Image Recognition Tutorial ~ (docs.mldb.ai) 2016/06/20 18:54 Link
1154 Competition Scripts: Techniques for Tackling Image Processing ~ (blog.kaggle.com) 2016/06/20 18:54 Link
1153 Building a Streaming Analytics Stack with Apache Kafka and Druid ~ (www.confluent.io) 2016/06/20 18:47 Link
1152 NoSQL Data Stores in Research and Practice ~ (de.slideshare.net) 2016/06/20 18:47 Link
1151 Faceted Search in the Single PostgreSQL Query ~ (akorotkov.github.io) 2016/06/20 18:44 Link
1150 Python Kafka Client Benchmarking ~ (activisiongamescience.github.io) 2016/06/20 18:35 Link
1149 Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning" ~ (github.com) 2016/06/20 18:30 Link
1148 A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things ~ (cpp.libhunt.com) 2016/06/20 18:29 Link
1147 DarkForest, the Facebook Go engine ~ (github.com) 2016/06/20 18:27 Link
1146 The Power of IPython Notebook + Pandas + and Scikit-learn ~ (www.andreykurenkov.com) 2016/06/20 18:27 Link
1145 AI, Deep Learning, and Machine Learning: A Primer ~ (a16z.com) 2016/06/20 18:25 Link
1144 A Simple Content-Based Recommendation Engine in Python ~ (blog.untrod.com) 2016/06/20 18:23 Link
1143 Machine learning for financial prediction - Part 2 ~ (robotwealth.com) 2016/06/20 18:22 Link
1142 Machine learning for financial prediction - Part 1 ~ (robotwealth.com) 2016/06/20 18:22 Link
1141 Cayley - An open-source graph database ~ (github.com) 2016/06/20 18:16 Link
1140 Cleaning Up PostgreSQL Bloat ~ (www.keithf4.com) 2016/06/20 18:10 Link
1139 MonetDB - The column-store pioneer ~ (www.monetdb.org) 2016/06/20 18:10 Link
1138 Machine Learning is Fun! - Part 3 - Deep Learning and Convolutional Neural Networks ~ (medium.com) 2016/06/20 18:08 Link
1137 Machine Learning is Fun! - Part 2 - Using Machine Learning to generate Super Mario Maker levels ~ (medium.com) 2016/06/20 18:08 Link
1136 Machine Learning is Fun! - Part 1 - The world’s easiest introduction to Machine Learning ~ (medium.com) 2016/06/20 18:07 Link
1135 10 Useful Python Data Visualization Libraries for Any Discipline ~ (blog.modeanalytics.com) 2016/06/20 18:06 Link
1134 How to Check-Point Deep Learning Models in Keras ~ (machinelearningmastery.com) 2016/06/20 18:06 Link
1133 What Big Data, Data Science, Deep Learning software goes together? ~ (www.kdnuggets.com) 2016/06/20 18:06 Link
1132 k-Nearest Neighbors from Scratch ~ (lettier.github.io) 2016/06/20 18:05 Link
1131 Beer reviews with Recurrent Neural Networks (RNN) ~ (datanice.github.io) 2016/06/20 18:04 Link
1130 Machine Learning : What is regularization ? ~ (datanice.github.io) 2016/06/20 18:04 Link
1129 What is the difference between deep learning and usual machine learning? ~ (github.com) 2016/06/20 18:00 Link
1128 Recurrent Convolutional Neural Networks for Text Classification ~ (github.com) 2016/06/20 17:58 Link
1127 K-means in TensorFlow ~ (nxn.se) 2016/06/20 17:58 Link
1126 Building and training your first TensorFlow graph from the ground up. ~ (www.oreilly.com) 2016/06/20 15:27 Link
1125 Implementing your own recommender systems in Python ~ (online.cambridgecoding.com) 2016/06/20 13:13 Link
1124 Making Bayesian A/B Testing More Accessible ~ (yanirseroussi.com) 2016/06/20 13:10 Link
1123 Deep Reinforcement Learning ~ (www.deepmind.com) 2016/06/20 13:05 Link
1122 ClickHouse - open source column oriented database - analytical data reports in real time. ~ (clickhouse.yandex) 2016/06/15 12:34 Link
1121 Statistics for Hackers - PyCon 2016 ~ (www.youtube.com) 2016/06/14 21:30 Link
1120 Add and Subtract Words like Vectors with Word2Vec ~ (www.galvanize.com) 2016/06/07 16:34 Link
1119 Using Machine Learning to Predict Out-Of-Sample Performance of Trading Algorithms ~ (www.datarobot.com) 2016/06/07 16:28 Link
1118 How to build up a data team (everything I ever learned about recruiting) ~ (erikbern.com) 2016/06/07 09:38 Link
1117 Python Machine Learning Book ~ (github.com) 2016/06/07 09:33 Link
1116 Visualizing And Understanding Recurrent Networks ~ (cs.stanford.edu) 2016/06/07 09:26 Link
1115 Converting MySQL Syntax and Functions into Redshift ~ (www.periscopedata.com) 2016/06/06 17:45 Link
1114 Automate Machine Learning Workflows with Pipelines in Python and scikit-learn ~ (machinelearningmastery.com) 2016/06/06 14:40 Link
1113 What is the difference between deep learning and usual machine learning? ~ (github.com) 2016/06/05 19:56 Link
1112 Building Data Systems: What Do You Need? ~ (www.svds.com) 2016/06/05 19:55 Link
1111 Image Processing with scikit-image ~ (blog.yhat.com) 2016/06/05 19:55 Link
1110 Bayesian update with a multivariate normal distribution ~ (allendowney.blogspot.fr) 2016/06/05 19:46 Link
1109 Bayesian Deep Learning ~ (twiecki.github.io) 2016/06/03 16:37 Link
1108 The Truth About Deep Learning ~ (blog.claymcleod.io) 2016/06/03 16:37 Link
1107 Open Source Speech Recognition ~ (chrislord.net) 2016/06/03 16:37 Link
1106 Becoming a Data Scientist – Curriculum via Metromap 8 ~ (nirvacana.com) 2016/06/03 16:37 Link
1105 Turn-key Deep Learning in the Cloud with GPUs and NVIDIA DIGITS ~ (www.nimbix.net) 2016/06/03 16:36 Link
1104 Building a data science portfolio: Storytelling with data ~ (www.dataquest.io) 2016/06/03 16:36 Link
1102 Principal Components Regression, Pt.1: The Standard Method ~ (www.win-vector.com) 2016/06/03 16:35 Link
1101 Principal Components Regression, Pt. 2: Y-Aware Methods ~ (www.win-vector.com) 2016/06/03 16:35 Link
1100 The "Python Machine Learning" book code repository and info resource ~ (github.com) 2016/06/03 16:33 Link
1099 Feature Selection For Machine Learning in Python ~ (machinelearningmastery.com) 2016/06/03 16:32 Link
1098 Build and run Docker containers leveraging NVIDIA GPUs ~ (github.com) 2016/06/03 16:32 Link
1097 Breaking Linear Classifiers on ImageNet ~ (karpathy.github.io) 2016/06/03 16:31 Link
1096 Infographic: 16 Genius Minds Whose Inventions Made Data Science Easier For Us ~ (www.analyticsvidhya.com) 2016/06/03 16:30 Link
1095 Evaluate the Performance Of Deep Learning Models in Keras ~ (machinelearningmastery.com) 2016/06/03 16:29 Link
1094 Displaying a video feed with OpenCV and Tkinter ~ (www.pyimagesearch.com) 2016/06/03 16:25 Link
1093 MNIST Handwritten Digit Classifier ~ (github.com) 2016/06/03 16:24 Link
1092 Data Models and Word Size ~ (nickdesaulniers.github.io) 2016/06/03 16:24 Link
1091 Train a deep learning net with OpenStreetMap features and satellite imagery. ~ (github.com) 2016/06/03 16:23 Link
1090 Introduction to Recurrent Networks in TensorFlow ~ (danijar.com) 2016/06/03 16:23 Link
1089 Analyzing Log Data with Spark and Looker ~ (info.looker.com) 2016/06/03 16:23 Link
1088 Deep Reinforcement Learning: Pong from Pixels ~ (karpathy.github.io) 2016/06/03 16:22 Link
1087 Modelling a Basic Income with Python and Monte Carlo Simulation ~ (www.chrisstucchio.com) 2016/06/03 16:22 Link
1086 Bayesian Data Analysis with PyMC3 ~ (twiecki.github.io) 2016/06/03 11:32 Link
1085 Introducing DeepText: Facebook's text understanding engine ~ (code.facebook.com) 2016/06/01 23:24 Link
1084 Understanding Gradient Boosting, Part 1 ~ (rcarneva.github.io) 2016/06/01 22:19 Link
1082 Qs - Deep Gaussian Processes ~ (www.opendatascience.com) 2016/06/01 22:18 Link
1079 How the Data Lake works ? ~ (www.boozallen.com) 2016/06/01 22:17 Link
1078 50+ Free Data Science Books ~ (www.hadoop360.com) 2016/06/01 22:17 Link
1077 TensorFlow tutorials and code examples for beginners ~ (github.com) 2016/06/01 22:12 Link
1076 Improving performance of random forests for a particular value of outcome by adding chosen features ~ (myabakhova.blogspot.fr) 2016/05/26 07:39 Link
1075 Choosing features for random forests algorithm ~ (myabakhova.blogspot.fr) 2016/05/26 07:38 Link
1074 Computing Ratio of Areas ~ (myabakhova.blogspot.fr) 2016/05/26 07:38 Link
1073 Biased Estimators vs Unbiased Ones ~ (myabakhova.blogspot.fr) 2016/05/26 07:38 Link
1072 Visualizing Bagged Trees as Approximating Borders, Part 1 ~ (myabakhova.blogspot.fr) 2016/05/26 07:37 Link
1071 Visualizing Bagged Trees, Part 2 ~ (myabakhova.blogspot.fr) 2016/05/26 07:37 Link
1070 Want to Win at Kaggle? Pay Attention to Your Ensembles. ~ (www.datasciencecentral.com) 2016/05/26 07:36 Link
1069 An Introduction to Inference ~ (koaning.io) 2016/05/26 07:36 Link
1068 Youtube Channel - Probability Primer & Machine Learning & Information Theory ~ (www.youtube.com) 2016/05/24 15:08 Link
1067 Python: Co-variance and Correlation ~ (analytics4all.org) 2016/05/24 15:07 Link
1066 Apache® Spark™ MLlib: From Quick Start to Scikit-Learn ~ (go.databricks.com) 2016/05/24 15:07 Link
1065 Fizz Buzz in Tensorflow - Humouristic Article ~ (joelgrus.com) 2016/05/24 15:06 Link
1064 Python - Saving A Pandas Dataframe As a CSV ~ (chrisalbon.com) 2016/05/19 22:24 Link
1063 Python - Replacing Values In Pandas ~ (chrisalbon.com) 2016/05/19 22:24 Link
1062 Python - Rename Multiple Pandas Dataframe Column Names At Once ~ (chrisalbon.com) 2016/05/19 22:24 Link
1061 Python - Dealing With Outliers In Pandas ~ (chrisalbon.com) 2016/05/19 22:24 Link
1060 Python - Normalize A Column In Pandas ~ (chrisalbon.com) 2016/05/19 22:24 Link
1059 Python - Missing Data In Pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:24 Link
1058 Python - Join And Merge Pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:23 Link
1057 Python - Hierarchical Data In Pandas ~ (chrisalbon.com) 2016/05/19 22:23 Link
1056 Python Pandas - Find Unique Values In Pandas Dataframes ~ (chrisalbon.com) 2016/05/19 22:23 Link
1055 Python Pandas - Find Largest Value In A Dataframe Column ~ (chrisalbon.com) 2016/05/19 22:23 Link
1054 Python - Dropping Rows And Columns In pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:22 Link
1053 Python - Drop A Column That Contains A Certain String In Pandas ~ (chrisalbon.com) 2016/05/19 22:22 Link
1052 Python - Delete Duplicates In Pandas ~ (chrisalbon.com) 2016/05/19 22:22 Link
1051 Python - Load Excel Spreadsheet As Pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:22 Link
1050 Python - Loading A CSV Into Pandas ~ (chrisalbon.com) 2016/05/19 22:22 Link
1049 Python - Descriptive Statistics For pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:21 Link
1048 Python - Count Values In Pandas Dataframe ~ (chrisalbon.com) 2016/05/19 22:21 Link
1047 Python - Create A Pandas Column With A For Loop ~ (chrisalbon.com) 2016/05/19 22:21 Link
1046 Python Pandas - Convert A Categorical Variable Into Dummy Variables ~ (chrisalbon.com) 2016/05/19 22:19 Link
1045 Python - Applying Operations Over pandas Dataframes ~ (chrisalbon.com) 2016/05/19 22:18 Link
1044 Python Pandas - Parse JSON File ~ (chrisalbon.com) 2016/05/19 22:17 Link
1043 Python - Cleaning Text ~ (chrisalbon.com) 2016/05/19 22:16 Link
1042 Indexing And Slicing Numpy Arrays ~ (chrisalbon.com) 2016/05/19 22:11 Link
1041 Python Data Structure Basics ~ (chrisalbon.com) 2016/05/19 22:11 Link
1040 All Combinations For A List Of Objects ~ (chrisalbon.com) 2016/05/19 22:11 Link
1039 List Unique Values In A Pandas Column ~ (chrisalbon.com) 2016/05/19 22:10 Link
1038 Applying Operations Over pandas Dataframes ~ (chrisalbon.com) 2016/05/19 22:10 Link
1037 Cheat Sheet: The pandas DataFrame Object ~ (drive.google.com) 2016/05/19 22:07 Link
1036 Converting categorical data into numbers with Pandas and Scikit-learn ~ (fastml.com) 2016/05/19 22:07 Link
1035 Solve Interview Case Studies 10x Faster Using Dynamic Programming ~ (www.analyticsvidhya.com) 2016/05/19 22:07 Link
1034 P vs. NP and the Computational Complexity Zoo - Video ~ (www.youtube.com) 2016/05/19 22:06 Link
1033 Translating SQL to pandas ~ (nbviewer.jupyter.org) 2016/05/19 21:54 Link
1032 Common Excel Tasks Demonstrated in Pandas ~ (pbpython.com) 2016/05/19 21:54 Link
1031 Plotting with Pandas - An Awesome IPython Notebook ~ (nbviewer.jupyter.org) 2016/05/19 21:54 Link
1030 Data Wrangling with Pandas - An awesome IPython Notebook ~ (nbviewer.jupyter.org) 2016/05/19 21:54 Link
1029 Introduction to Pandas - An Awesome IPython Notebook ~ (nbviewer.jupyter.org) 2016/05/19 21:53 Link
1028 Introduction to pandas - Part 1: Intro to pandas data structures ~ (www.gregreda.com) 2016/05/19 21:53 Link
1027 Introduction to pandas - Part 2: Working with DataFrames ~ (www.gregreda.com) 2016/05/19 21:52 Link
1026 Introduction to pandas - Part 3: Using pandas with the MovieLens dataset ~ (www.gregreda.com) 2016/05/19 21:52 Link
1025 Top 8 resources for learning data analysis with pandas ~ (www.dataschool.io) 2016/05/19 21:50 Link
1024 The Ultimate Beginner’s Guide to Data Quality and Business Intelligence ~ (www.datasciencecentral.com) 2016/05/19 21:50 Link
1023 Cross Validation ~ (dataskeptic.com) 2016/05/19 21:49 Link
1022 Value of information ~ (dataskeptic.com) 2016/05/19 21:49 Link
1021 Decision Tree Learning ~ (dataskeptic.com) 2016/05/19 21:49 Link
1020 Confidence Intervals ~ (dataskeptic.com) 2016/05/19 21:48 Link
1019 Selection Bias ~ (dataskeptic.com) 2016/05/19 21:48 Link
1018 K-Means Clustering ~ (dataskeptic.com) 2016/05/19 21:48 Link
1017 Markov Chains & Monte Carlo ~ (dataskeptic.com) 2016/05/19 21:48 Link
1016 Markov Chains ~ (dataskeptic.com) 2016/05/19 21:47 Link
1014 Gradient Descent ~ (dataskeptic.com) 2016/05/19 21:47 Link
1013 Multiple Regression ~ (dataskeptic.com) 2016/05/19 21:47 Link
1012 Semi-supervised reinforcement learning ~ (medium.com) 2016/05/19 21:44 Link
1011 Expanding your machine learning toolkit: Randomized search, computational budgets, and new algorithms ~ (online.cambridgecoding.com) 2016/05/19 21:43 Link
1010 Introduction to Chainer: Neural Networks in Python ~ (multithreaded.stitchfix.com) 2016/05/15 13:28 Link
1009 Understanding the Bias-Variance Tradeoff ~ (scott.fortmann-roe.com) 2016/05/15 00:40 Link
1008 Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine ~ (github.com) 2016/05/14 19:26 Link
1007 Making data science FAST: Survey of GPU accelerated tools ~ (blog.dominodatalab.com) 2016/05/14 19:12 Link
1006 Data Brewery - A set of Python frameworks and tools for data processing and analysis. ~ (databrewery.org) 2016/05/14 19:12 Link
1005 SQL vs. NoSQL Databases: What’s the Difference? ~ (www.upwork.com) 2016/05/14 19:08 Link
1004 Deep Dreams (with Caffe) ~ (github.com) 2016/05/14 18:29 Link
1003 Video Recordings of the ICML’15 Deep Learning Workshop ~ (dpkingma.com) 2016/05/14 18:19 Link
1002 Massive Throughput Database Queries with LLVM on GPUs ~ (www.mapd.com) 2016/05/14 18:02 Link
1001 Neural Networks in Javascript ~ (blog.webkid.io) 2016/05/14 17:58 Link
1000 Introduction to Python Deep Learning with Keras ~ (machinelearningmastery.com) 2016/05/14 17:51 Link
999 Number plate recognition with Tensorflow ~ (matthewearl.github.io) 2016/05/14 17:43 Link
998 Introduction to Machine Learning with scikit-learn ~ (machinelearningmastery.com) 2016/05/14 17:43 Link
997 Docker for Data Scientists, Strata 2016 ~ (www.youtube.com) 2016/05/14 17:27 Link
995 Visualize Your Graph with RNeo4j and visNetwork. ~ (www.opendatascience.com) 2016/05/14 14:05 Link
994 Analyzing the Social Networks of over 1.6 Billion Reddit Comments ~ (homes.cs.washington.edu) 2016/05/14 13:58 Link
993 The Good, Bad, & Ugly of TensorFlow ~ (indico.io) 2016/05/14 13:57 Link
992 A Gentle Introduction to Neural Networks (with python) ~ (ep2016.europython.eu) 2016/05/14 13:56 Link
991 What is Poor Data Quality Costing You? ~ (datafloq.com) 2016/05/14 13:55 Link
990 Misleading modelling: overfitting, cross-validation, and the bias-variance trade-off ~ (blog.cambridgecoding.com) 2016/05/14 13:55 Link
989 Learning About Deep Learning ~ (upflow.co) 2016/05/14 13:54 Link
988 Deep Learning Tutorial part 1/3: Logistic Regression ~ (lazyprogrammer.me) 2016/05/14 13:54 Link
987 Deep Learning Tutorial part 2/3: Artificial Neural Networks ~ (lazyprogrammer.me) 2016/05/14 13:53 Link
985 Working with JSON data in very simple way ~ (blog.exploratory.io) 2016/05/14 13:50 Link
984 Import flight data super fast with readr ~ (blog.exploratory.io) 2016/05/14 13:50 Link
983 Analyzing issue data with Github REST API ~ (blog.exploratory.io) 2016/05/14 13:50 Link
982 On the Computational Complexity of MapReduce ~ (jeremykun.com) 2016/05/13 16:12 Link
981 Markov Chain Monte Carlo Without all the Bullshit ~ (jeremykun.com) 2016/05/13 16:12 Link
980 Weak Learning, Boosting, and the AdaBoost algorithm ~ (jeremykun.com) 2016/05/13 16:12 Link
979 What does it mean for an algorithm to be fair? ~ (jeremykun.com) 2016/05/13 16:11 Link
978 The Welch-Berlekamp Algorithm for Correcting Errors in Data ~ (jeremykun.com) 2016/05/13 16:11 Link
977 The Boosting Margin, or Why Boosting Doesn’t Overfit ~ (jeremykun.com) 2016/05/13 16:11 Link
976 Singular Value Decomposition Part 1: Perspectives on Linear Algebra ~ (jeremykun.com) 2016/05/13 16:05 Link
974 Big Dimensions, and What You Can Do About It ~ (jeremykun.com) 2016/05/13 16:04 Link
973 Neurons, as an Extension of the Perceptron Model ~ (jeremykun.com) 2016/05/13 16:03 Link
972 21 Must-Know Data Science Interview Questions and Answers ~ (www.kdnuggets.com) 2016/05/09 09:23 Link
971 Visualizing Large-scale and High-dimensional Data ~ (arxiv.org) 2016/05/09 09:21 Link
970 A Data Science twitter network ~ (www.opendatascience.com) 2016/05/09 09:19 Link
969 Text Analysis & Document Classification ~ (www.kdnuggets.com) 2016/05/09 09:13 Link
968 PostgreSQL Vacuuming: An Introduction for Busy Devs ~ (okigiveup.net) 2016/05/07 20:29 Link
967 Three pitfalls to avoid when building data science into your business ~ (altitudelabs.com) 2016/05/07 20:29 Link
966 Deep Learning in 90 Seconds ~ (gettopical.com) 2016/05/07 20:28 Link
965 How do I learn machine learning? ~ (www.datasciencecentral.com) 2016/05/07 20:28 Link
964 A Look at Text Analytics ~ (www.linkedin.com) 2016/05/07 20:27 Link
963 Using Data Science To Make Sense Of Unstructured Text ~ (blog.pivotal.io) 2016/05/07 20:27 Link
962 TensorNet : Tensorizing Neural Networks - implementation ~ (nuit-blanche.blogspot.com.mt) 2016/05/07 20:26 Link
961 9 Lessons Learned from a Decade Spent Developing Machine Learning Products ~ (media.bemyapp.com) 2016/05/07 20:26 Link
960 Deep Language Modeling for Question Answering using Keras ~ (benjaminbolte.com) 2016/05/07 20:26 Link
959 Introduction to the Python Deep Learning Library Theano ~ (machinelearningmastery.com) 2016/05/07 20:25 Link
958 Getting Up to Speed on Deep Learning ~ (requestsforstartups.com) 2016/05/07 20:25 Link
957 Datasets over Algorithms ~ (www.spacemachine.net) 2016/05/07 20:25 Link
956 data.table() vs data.frame() – Learn to work on large data sets in R ~ (www.analyticsvidhya.com) 2016/05/07 20:24 Link
955 Data Visualizations: A Beginner’s Guide to Finding Stories In Numbers ~ (blog.visme.co) 2016/05/07 20:21 Link
954 State of the art for improving classification accuracy using additional unlabelled training data ~ (www.reddit.com) 2016/05/07 20:20 Link
953 The C++ engine that powers the scientific computing library ND4J ~ (github.com) 2016/05/07 20:19 Link
952 Tips to prepare an outstanding CV for data science roles ~ (www.analyticsvidhya.com) 2016/05/07 20:19 Link
951 Single Neuron Gradient Descent ~ (travelbythenumbers.com) 2016/05/07 20:17 Link
950 Why implementing machine learning algorithms from scratch? ~ (github.com) 2016/05/07 20:10 Link
949 The Field Guide to Data Science ~ (www.boozallen.com) 2016/05/07 20:09 Link
948 A Data Science Approach to Writing a Good GitHub README ~ (blog.algorithmia.com) 2016/05/07 20:09 Link
947 Gor - An open source tool to test your system with real data ~ (gortool.com) 2016/05/06 12:52 Link
946 Train your TensorFlow Models on Rescale ~ (blog.rescale.com) 2016/05/06 12:51 Link
945 Mining of Massive Datasets - The Book ~ (www.mmds.org) 2016/05/06 12:50 Link
944 Deep Learning Papers - Reddit Feed ~ (www.reddit.com) 2016/05/06 12:49 Link
943 Outlier Detection Gets a Makeover - Surprise Discovery in Scientific Big Data ~ (www.statisticsviews.com) 2016/05/03 07:58 Link
942 What is Apache Spark ? ~ (www.mapr.com) 2016/05/03 07:57 Link
941 Using Python with Apache Spark ~ (www.mapr.com) 2016/05/03 07:56 Link
940 Scalable Real-time Product Search using PostgreSQL with Citus ~ (www.citusdata.com) 2016/05/02 17:32 Link
939 OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms. ~ (gym.openai.com) 2016/05/02 17:32 Link
938 On Nested Models ~ (www.win-vector.com) 2016/05/02 17:31 Link
937 Python Ecosystem for Machine Learning ~ (machinelearningmastery.com) 2016/05/02 17:31 Link
936 A wild dataset has appeared! Now what? ~ (kldavenport.com) 2016/05/02 17:17 Link
935 Implementing your own k-nearest neighbour algorithm using Python ~ (blog.cambridgecoding.com) 2016/05/02 17:14 Link
934 Apache Zeppelin Walk Through ~ (nedsblog.com) 2016/05/02 17:13 Link
933 11 Important Model Evaluation Techniques Everyone Should Know ~ (www.datasciencecentral.com) 2016/05/02 17:08 Link
932 Statistical Analysis Advisor Chart ~ (www.datasciencecentral.com) 2016/05/02 17:07 Link
931 Breaking Down Prediction Errors in Machine Learning Sung Chung, Machine Learning ~ (alpinedata.com) 2016/05/02 17:02 Link
930 Organizing My Emails With A Neural Net ~ (www.andreykurenkov.com) 2016/05/02 17:00 Link
929 A 'Brief' History of Neural Nets and Deep Learning, Part 1 ~ (www.andreykurenkov.com) 2016/05/02 16:59 Link
928 A 'Brief' History of Neural Nets and Deep Learning, Part 2 ~ (www.andreykurenkov.com) 2016/05/02 16:59 Link
927 A 'Brief' History of Neural Nets and Deep Learning, Part 3 ~ (www.andreykurenkov.com) 2016/05/02 16:58 Link
926 A 'Brief' History of Neural Nets and Deep Learning, Part 4 ~ (www.andreykurenkov.com) 2016/05/02 16:58 Link
925 A 'Brief' History of Game AI Up To AlphaGo, Part 1 ~ (www.andreykurenkov.com) 2016/05/02 16:57 Link
924 A 'Brief' History of Game AI Up To AlphaGo, Part 2 ~ (www.andreykurenkov.com) 2016/05/02 16:57 Link
923 A 'Brief' History of Game AI Up To AlphaGo, Part 3 ~ (www.andreykurenkov.com) 2016/05/02 16:56 Link
921 The What and Where of Big Data: A Data Definition Framework ~ (businessoverbroadway.com) 2016/05/02 16:44 Link
920 A Quick Guide to Structured and Unstructured Data ~ (www.smartdatacollective.com) 2016/05/02 16:41 Link
919 Twitter Natural Language Processing ~ (www.cs.cmu.edu) 2016/04/29 16:29 Link
918 Open Data Science Meetups - A Data and Machine Learning Oriented Youtube Playlist ~ (www.youtube.com) 2016/04/28 23:53 Link
917 Introduction to Quantum Monte Carlo (QMC) - Part 1 ~ (galeascience.wordpress.com) 2016/04/28 23:13 Link
916 Introduction to Quantum Monte Carlo (QMC) - Part 2: Statistical Foundations ~ (galeascience.wordpress.com) 2016/04/28 23:12 Link
915 Introduction to Quantum Monte Carlo (QMC) - Part 3: Markov Chains and the Metropolis Algorithm ~ (galeascience.wordpress.com) 2016/04/28 23:12 Link
913 What Machine Learning Means for Product Development ~ (karlrosaen.com) 2016/04/28 16:18 Link
912 A implementation of k-means clustering in TensorFlow ~ (rasbt.github.io) 2016/04/28 14:03 Link
911 Bayes on Jupyter ~ (allendowney.blogspot.fr) 2016/04/27 17:50 Link
910 What PostgreSQL Tells You About Its Performance ~ (okigiveup.net) 2016/04/27 17:49 Link
908 How to Learn Deep Learning - A Course Path ~ (studiy.co) 2016/04/27 13:12 Link
907 Free Kaggle Machine Learning Tutorial for Python ~ (blog.kaggle.com) 2016/04/27 13:10 Link
906 6 Questions To Understand Any Machine Learning Algorithm ~ (machinelearningmastery.com) 2016/04/27 13:09 Link
905 Too Big for Excel? A Fear from The Past ~ (www.dataiku.com) 2016/04/27 13:09 Link
904 How To Extract Feature Vectors From Deep Neural Networks In Python Caffe ~ (prateekvjoshi.com) 2016/04/27 13:08 Link
903 The New Rules for Becoming a Data Scientist ~ (www.datasciencecentral.com) 2016/04/27 13:05 Link
902 Working with databases in R ~ (datascience-enthusiast.com) 2016/04/27 13:04 Link
901 Deep Learning SIMPLIFIED ~ (www.youtube.com) 2016/04/26 18:14 Link
900 12 Algorithms Every Data Scientist Should Know ~ (datafloq.com) 2016/04/26 17:59 Link
899 Making data science accessible - Machine Learning – Tree Methods ~ (www.analyticbridge.com) 2016/04/26 17:59 Link
898 ImageNet Classification with Deep Convolutional Neural Networks ~ (blog.acolyer.org) 2016/04/26 17:03 Link
897 Migrating MySQL Data ~ (engblog.yext.com) 2016/04/26 17:03 Link
896 Deep Learning in Neural Networks: An Overview ~ (blog.acolyer.org) 2016/04/26 16:30 Link
895 Fast csv writing for R ~ (blog.h2o.ai) 2016/04/25 22:44 Link
894 How to start learning data science ~ (www.sharpsightlabs.com) 2016/04/25 22:43 Link
893 How to analyze a new dataset (or, analyzing ‘supercar’ data, part 1) ~ (www.sharpsightlabs.com) 2016/04/25 22:43 Link
892 Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2) ~ (www.sharpsightlabs.com) 2016/04/25 22:43 Link
891 How to format your chart and axis titles in ggplot ~ (www.sharpsightlabs.com) 2016/04/25 22:42 Link
890 Why you should start by learning data visualization and manipulation ~ (www.sharpsightlabs.com) 2016/04/25 22:41 Link
889 A quick introduction to machine learning in R with caret ~ (www.sharpsightlabs.com) 2016/04/25 22:41 Link
888 The one machine learning concept you need to know ~ (www.sharpsightlabs.com) 2016/04/25 22:41 Link
887 Tutorial on Collaborative Filtering and Matrix Factorization in Python ~ (lazyprogrammer.me) 2016/04/25 22:40 Link
886 15 Must Read Books for Entrepreneurs in Data Science ~ (www.analyticsvidhya.com) 2016/04/25 22:39 Link
885 Postgres Index Types ~ (robots.thoughtbot.com) 2016/04/25 22:39 Link
884 Storage Pod 6.0: Building a 60 Drive 480TB Storage Server ~ (www.backblaze.com) 2016/04/25 22:39 Link
883 Machine Learning & Neural Networks for Artists - Course ~ (github.com) 2016/04/25 07:43 Link
882 When Does Deep Learning Work Better Than SVMs or Random Forests? ~ (github.com) 2016/04/24 21:28 Link
881 Boosting and AdaBoost for Machine Learning ~ (machinelearningmastery.com) 2016/04/24 21:27 Link
880 Tips for Future Data Scientists ~ (101.datascience.community) 2016/04/24 21:20 Link
879 Building Web Data Products with R & Shiny ~ (www.codementor.io) 2016/04/24 21:19 Link
878 Spark & R: Downloading data and Starting with SparkR using Jupyter notebooks ~ (www.codementor.io) 2016/04/24 21:19 Link
877 Spark & R: loading data into SparkSQL data frames ~ (www.codementor.io) 2016/04/24 21:19 Link
876 Spark & R: data frame operations with SparkR ~ (www.codementor.io) 2016/04/24 21:19 Link
875 Getting Started with Cassandra and Spark ~ (www.codementor.io) 2016/04/24 21:19 Link
874 A SQLAlchemy Cheat Sheet ~ (www.codementor.io) 2016/04/24 21:18 Link
873 Spark & Python: Working with RDDs - Part 1 ~ (www.codementor.io) 2016/04/24 21:18 Link
872 Spark & Python: Working with RDDs - Part 2 ~ (www.codementor.io) 2016/04/24 21:18 Link
871 Spark & Python: MLlib Basic Statistics & Exploratory Data Analysis ~ (www.codementor.io) 2016/04/24 21:18 Link
870 Spark & Python: MLlib Logistic Regression ~ (www.codementor.io) 2016/04/24 21:15 Link
869 Spark & Python: MLlib Decision Trees ~ (www.codementor.io) 2016/04/24 21:15 Link
868 Spark & Python: SQL & DataFrames ~ (www.codementor.io) 2016/04/24 21:15 Link
867 Data Science with Python & R: Data Frames I ~ (www.codementor.io) 2016/04/24 21:14 Link
866 Data Science with Python & R: Data Frames II ~ (www.codementor.io) 2016/04/24 21:14 Link
865 Data Science with Python & R: Exploratory Data Analysis ~ (www.codementor.io) 2016/04/24 21:14 Link
864 Data Science with Python & R: Dimensionality Reduction and Clustering ~ (www.codementor.io) 2016/04/24 21:13 Link
863 Building Data Products with Python: Using Machine Learning to Provide Recommendations ~ (www.codementor.io) 2016/04/24 21:13 Link
862 How to setup Hadoop in Pseudo Distributed Mode on Single Cluster ~ (www.codementor.io) 2016/04/24 21:08 Link
861 PostgreSQL Streaming Replication in 10 Minutes ~ (hunleyd.github.io) 2016/04/22 14:42 Link
860 The MBA Data Science Toolkit: 8 resources to go from the spreadsheet to the command line ~ (www.kdnuggets.com) 2016/04/22 14:40 Link
859 How to break into machine learning ~ (petewarden.com) 2016/04/22 14:39 Link
858 Holding Your Hand Like a Small Child Through a Neural Network – Part 1 ~ (www.kdnuggets.com) 2016/04/22 14:31 Link
857 Holding Your Hand Like a Small Child Through a Neural Network – Part 2 ~ (www.kdnuggets.com) 2016/04/22 14:31 Link
856 Top 10 iPython Notebook Tutorials for Data Science and Machine Learning ~ (www.kdnuggets.com) 2016/04/22 14:29 Link
855 SigOpt wrappers for scikit-learn methods ~ (github.com) 2016/04/22 14:27 Link
854 Leaf - Machine Learning for Hackers ~ (autumnai.com) 2016/04/22 14:27 Link
853 Top 8 Udemy Data Science Courses in 2016 ~ (www.learndatasci.com) 2016/04/22 14:23 Link
852 Bagging and Random Forest Ensemble Algorithms for Machine Learning ~ (machinelearningmastery.com) 2016/04/22 14:23 Link
851 9 Powerful Data Visualizations That Could Change Your View of the World ~ (datasciencedegree.wisconsin.edu) 2016/04/22 14:22 Link
850 Equivalences between Tables, Maps, Graphs, and Sets ~ (planspace.org) 2016/04/22 14:20 Link
849 Stanford Course: Deep Learning for Natural Language Processing ~ (www.youtube.com) 2016/04/22 14:19 Link
848 Metric Learning in Python ~ (all-umass.github.io) 2016/04/21 02:02 Link
847 10 tools and platforms for data preparation ~ (www.hadoop360.com) 2016/04/20 23:27 Link
846 Comprehensive Guide to Learning Python for Data Analysis and Data Science ~ (www.kdnuggets.com) 2016/04/20 22:45 Link
845 Cleaning MoMA's Artwork Collection Using Python ~ (www.dataquest.io) 2016/04/20 22:43 Link
844 Stat212b: Topics Course on Deep Learning ~ (joanbruna.github.io) 2016/04/20 22:41 Link
843 How-to: Use Impala and Kudu Together for Analytic Workloads ~ (blog.cloudera.com) 2016/04/20 22:40 Link
842 Introducing Dask distributed ~ (matthewrocklin.com) 2016/04/20 22:39 Link
841 Pandas on HDFS with Dask Dataframes ~ (matthewrocklin.com) 2016/04/20 22:39 Link
840 Distributed Dask Arrays ~ (matthewrocklin.com) 2016/04/20 22:39 Link
838 Ad Hoc Distributed Random Forests when arrays and dataframes aren't flexible enough ~ (matthewrocklin.com) 2016/04/20 22:34 Link
837 Building a Data Pipeline to Clean Dirty Data ~ (www.dataiku.com) 2016/04/20 22:29 Link
836 As a data analyst the best data repositories are the ones with the least features ~ (simplystatistics.org) 2016/04/20 22:28 Link
835 Tidy Data Toolset ~ (www.jstatsoft.org) 2016/04/20 22:28 Link
834 Mega collection of data science books and terminology ~ (www.datasciencecentral.com) 2016/04/20 22:26 Link
833 38 Seminal Articles Every Data Scientist Should Read ~ (www.datasciencecentral.com) 2016/04/20 22:25 Link
832 TUPAQ - Automating Model Search for Large Scale Machine Learning ~ (www.datasciencecentral.com) 2016/04/20 22:00 Link
831 11 Deep Learning Articles, Tutorials and Resources ~ (www.datasciencecentral.com) 2016/04/20 22:00 Link
830 12 Statistical and Machine Learning Methods that Every Data Scientist Should Know ~ (tjo-en.hatenablog.com) 2016/04/20 21:58 Link
829 How To Identify A Good/Bad Data Scientist In A Job Interview? ~ (www.datasciencecentral.com) 2016/04/20 21:57 Link
828 Deep learning – Convolutional neural networks and feature extraction with Python ~ (blog.christianperone.com) 2016/04/20 21:56 Link
827 Python for Object Based Image Analysis (OBIA) ~ (www.machinalis.com) 2016/04/20 00:24 Link
826 Don't Buy Machine Learning ~ (www.machinalis.com) 2016/04/20 00:24 Link
825 Moving a lot of data between databases ~ (www.machinalis.com) 2016/04/20 00:22 Link
824 Support Vector Machines - Introduction to the inner workings of support vector machines ~ (www.machinalis.com) 2016/04/20 00:22 Link
823 Decision tree classifier - A simple implementation of the ID3 algorithm. ~ (www.machinalis.com) 2016/04/20 00:21 Link
822 Migrating data into your Django project ~ (www.machinalis.com) 2016/04/20 00:21 Link
821 Industrial Machine Learning with Feature Forge ~ (www.machinalis.com) 2016/04/20 00:20 Link
820 100 open source Big Data architecture papers for data professionals. ~ (www.linkedin.com) 2016/04/20 00:20 Link
818 Support Vector Machines for Machine Learning ~ (machinelearningmastery.com) 2016/04/19 21:57 Link
817 Top 15 Frameworks for Machine Learning Experts ~ (www.kdnuggets.com) 2016/04/19 21:56 Link
816 Integrating Python and R ~ (www.opendatascience.com) 2016/04/19 21:56 Link
815 6 Lesser Known Python Data Analysis Libraries ~ (jyotiska.github.io) 2016/04/19 21:52 Link
814 An Introduction to Inference ~ (koaning.io) 2016/04/19 21:50 Link
813 Building a (semi) Autonomous Drone with Python ~ (blog.yhat.com) 2016/04/19 21:50 Link
812 What Convolutional Neural Networks look at when they see Nudity ? ~ (blog.clarifai.com) 2016/04/19 21:49 Link
811 How To Programmatically Create A Deep Neural Network In Python Caffe ~ (prateekvjoshi.com) 2016/04/19 21:48 Link
810 Getting Started with Data Science Specialties ~ (101.datascience.community) 2016/04/19 21:47 Link
807 A new default plot for multivariate dispersions ~ (www.r-bloggers.com) 2016/04/18 22:12 Link
806 Neural conversational model in Torch ~ (github.com) 2016/04/18 11:55 Link
805 Practical Guide to implementing Neural Networks in Python (using Theano) ~ (www.analyticsvidhya.com) 2016/04/18 11:55 Link
804 Reinforcement Learning - Part 1 ~ (outlace.com) 2016/04/18 11:53 Link
803 Reinforcement Learning - Part 2 - Monte Carlo Methods ~ (outlace.com) 2016/04/18 11:53 Link
802 Reinforcement Learning - Part 3 - Q-learning with Neural Networks ~ (outlace.com) 2016/04/18 11:53 Link
801 Guest Post (Part I): Demystifying Deep Reinforcement Learning ~ (www.nervanasys.com) 2016/04/18 11:40 Link
800 Guest Post (Part II): Deep Reinforcement Learning with Neon ~ (www.nervanasys.com) 2016/04/18 11:40 Link
799 System Design Interview Cheatsheet ~ (gist.github.com) 2016/04/18 00:43 Link
798 All The Best Big Data Tools And How To Use Them ~ (www.7wdata.be) 2016/04/18 00:41 Link
797 Learning Vector Quantization for Machine Learning ~ (machinelearningmastery.com) 2016/04/17 22:04 Link
796 Unstructured Data Mining – A Primer ~ (icrunchdatanews.com) 2016/04/17 21:33 Link
795 Google Machine Learning Courses Playlist ~ (www.youtube.com) 2016/04/16 16:13 Link
794 TensorFlow Playground: Play with neural networks! ~ (github.com) 2016/04/16 14:58 Link
793 TensorFlow Whitepaper: Large-Scale Machine Learning on Heterogeneous Distributed Systems ~ (download.tensorflow.org) 2016/04/16 14:57 Link
792 Step-by-step video courses for Deep Learning and Machine Learning ~ (www.datasciencecentral.com) 2016/04/16 14:57 Link
791 What is Apache Kafka? Why is it so popular? Should you use it? ~ (techbeacon.com) 2016/04/16 14:56 Link
790 How We Monitor and Run Kafka At Scale ~ (www.confluent.io) 2016/04/16 14:55 Link
789 Anomaly Detection Using PySpark, Hive, and Hue on Amazon EMR ~ (blogs.aws.amazon.com) 2016/04/16 14:55 Link
788 How to load data from Mixpanel to Redshift ~ (blog.blendo.co) 2016/04/15 18:57 Link
787 Combining Human Knowledge with Machine Learning for Robust Data Flows ~ (www.dataiku.com) 2016/04/15 18:55 Link
786 K-Nearest Neighbors for Machine Learning ~ (machinelearningmastery.com) 2016/04/14 20:03 Link
785 An Interactive Node-Link Visualization of Convolutional Neural Networks (with source code) ~ (scs.ryerson.ca) 2016/04/14 14:19 Link
784 3D Visualization of a Convolutional Neural Network ~ (scs.ryerson.ca) 2016/04/14 14:18 Link
783 Applying Machine Learning to Text Mining with Amazon S3 and RapidMiner ~ (blogs.aws.amazon.com) 2016/04/14 10:38 Link
782 Tinker With a Neural Network Right Here in Your Browser. Don’t Worry, You Can’t Break It. We Promise. ~ (playground.tensorflow.org) 2016/04/13 21:29 Link
781 Solving XOR with a Neural Network in TensorFlow ~ (aimatters.wordpress.com) 2016/04/13 21:06 Link
780 Popular Deep Learning Libraries ~ (machinelearningmastery.com) 2016/04/13 21:06 Link
779 The Magic Of Reverse Image Search ~ (prateekvjoshi.com) 2016/04/13 20:45 Link
778 How Do We Recognize Objects? ~ (prateekvjoshi.com) 2016/04/13 20:44 Link
777 Artificial Neural Networks ~ (prateekvjoshi.com) 2016/04/13 20:44 Link
776 Support Vector Machines ~ (prateekvjoshi.com) 2016/04/13 20:44 Link
775 Principal Component Analysis ~ (prateekvjoshi.com) 2016/04/13 20:44 Link
774 Perceiving The Perceptron ~ (prateekvjoshi.com) 2016/04/13 20:44 Link
773 What Does Backpropagation Mean? ~ (prateekvjoshi.com) 2016/04/13 20:43 Link
772 Bayesian Classifier ~ (prateekvjoshi.com) 2016/04/13 20:43 Link
771 What Is K-Means Clustering? ~ (prateekvjoshi.com) 2016/04/13 20:43 Link
770 Overfitting In Machine Learning ~ (prateekvjoshi.com) 2016/04/13 20:43 Link
769 What Is AdaBoost? ~ (prateekvjoshi.com) 2016/04/13 20:42 Link
768 Recognizing Shapes Using Point Distribution Models ~ (prateekvjoshi.com) 2016/04/13 20:42 Link
767 What Is Maximum Likelihood Estimation? ~ (prateekvjoshi.com) 2016/04/13 20:40 Link
766 What Is Manifold Learning? ~ (prateekvjoshi.com) 2016/04/13 20:40 Link
765 What Is A Markov Chain? ~ (prateekvjoshi.com) 2016/04/13 20:40 Link
764 Image Classification Using Bag-Of-Words Model ~ (prateekvjoshi.com) 2016/04/13 20:40 Link
762 Image Classification Using Fisher Vectors ~ (prateekvjoshi.com) 2016/04/13 20:40 Link
761 What’s The Importance Of Hyperparameters In Machine Learning? ~ (prateekvjoshi.com) 2016/04/13 20:39 Link
760 Autoencoders In Machine Learning ~ (prateekvjoshi.com) 2016/04/13 20:39 Link
759 What Is Bayesian Information Criterion? ~ (prateekvjoshi.com) 2016/04/13 20:39 Link
758 Dissecting Bias vs. Variance Tradeoff In Machine Learning ~ (prateekvjoshi.com) 2016/04/13 20:39 Link
757 How To Install Apache Spark On Ubuntu ~ (prateekvjoshi.com) 2016/04/13 20:38 Link
756 Understanding Filter, Map, And Reduce In Python ~ (prateekvjoshi.com) 2016/04/13 20:38 Link
755 Getting Started With Apache Spark In Python ~ (prateekvjoshi.com) 2016/04/13 20:38 Link
754 How To Compute Confidence Measure For SVM Classifiers ~ (prateekvjoshi.com) 2016/04/13 20:38 Link
753 Analyzing Real-time Data With Spark Streaming In Python ~ (prateekvjoshi.com) 2016/04/13 20:38 Link
752 Performing Windowed Computations On Streaming Data Using Spark In Python ~ (prateekvjoshi.com) 2016/04/13 20:37 Link
751 How To Install Caffe On Ubuntu ~ (prateekvjoshi.com) 2016/04/13 20:37 Link
750 How To Train A Neural Network In Python – Part I ~ (prateekvjoshi.com) 2016/04/13 20:37 Link
749 How To Train A Neural Network In Python – Part II ~ (prateekvjoshi.com) 2016/04/13 20:37 Link
748 How To Train A Neural Network In Python – Part III ~ (prateekvjoshi.com) 2016/04/13 20:36 Link
747 Deep Learning With Caffe In Python – Part I: Defining A Layer ~ (prateekvjoshi.com) 2016/04/13 20:36 Link
746 Deep Learning With Caffe In Python – Part II: Interacting With A Model ~ (prateekvjoshi.com) 2016/04/13 20:36 Link
745 Deep Learning With Caffe In Python – Part III: Training A CNN ~ (prateekvjoshi.com) 2016/04/13 20:35 Link
744 Deep Learning With Caffe In Python – Part IV: Classifying An Image ~ (prateekvjoshi.com) 2016/04/13 20:35 Link
743 How Are Decision Trees Constructed In Machine Learning ~ (prateekvjoshi.com) 2016/04/13 20:34 Link
742 Understanding Xavier Initialization In Deep Neural Networks ~ (prateekvjoshi.com) 2016/04/13 20:33 Link
741 What Is Local Response Normalization In Convolutional Neural Networks ~ (prateekvjoshi.com) 2016/04/13 20:33 Link
740 Understanding Locally Connected Layers In Convolutional Neural Networks ~ (prateekvjoshi.com) 2016/04/13 20:33 Link
739 How to Build a Successful Data Team, by Florian Douetteau - Dataiku's CEO ~ (www.dataiku.com) 2016/04/13 16:42 Link
738 Naive Bayes Tutorial for Machine Learning ~ (machinelearningmastery.com) 2016/04/13 16:41 Link
737 Two recent papers on model interpretability ~ (mike.place) 2016/04/12 14:55 Link
736 Introducing Keras 1.0 - A Deep Learning library for Python, that is simple, modular, and extensible. ~ (blog.keras.io) 2016/04/12 14:54 Link
735 Traditional Statistics vs Machine Learning ~ (www.opendatascience.com) 2016/04/12 14:41 Link
734 Algorithms and data structures in Swift, with explanations! ~ (github.com) 2016/04/12 14:40 Link
733 Faster Machine Learning and Data Analytics with Intel® Data Analytics Acceleration Library (Intel® DAAL) and Intel® Math Kernel Library (Intel® MKL) ~ (software.intel.com) 2016/04/12 14:17 Link
732 Have You Tried Using a 'Nearest Neighbor Search'? ~ (www.cachestocaches.com) 2016/04/12 14:05 Link
731 A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) ~ (www.analyticsvidhya.com) 2016/04/12 09:25 Link
730 Step by step Kaggle competition tutorial ~ (datanice.github.io) 2016/04/12 00:56 Link
729 New Tools to Summarize Text ~ (blog.fastforwardlabs.com) 2016/04/12 00:56 Link
728 Finding extreme points in contours with OpenCV ~ (www.pyimagesearch.com) 2016/04/12 00:56 Link
727 Paper review: TensorFlow, Large-Scale Machine Learning on Heterogeneous Distributed Systems ~ (muratbuffalo.blogspot.fr) 2016/04/12 00:55 Link
726 Practical machine learning techniques for building intelligent applications ~ (www.oreilly.com) 2016/04/12 00:54 Link
725 Approximate Nearest Neighbor Search for Sparse Data in Python! ~ (github.com) 2016/04/11 17:37 Link
724 Tutorial Series: How To Use Elasticsearch With Python and Django ~ (qbox.io) 2016/04/11 17:37 Link
723 How To Use Elasticsearch With Python and Django ( Part 1 ) ~ (qbox.io) 2016/04/11 17:37 Link
722 How To Use Elasticsearch With Python and Django ( Part 2 ) ~ (qbox.io) 2016/04/11 17:37 Link
721 How To Use Elasticsearch With Python and Django ( Part 3 ) ~ (qbox.io) 2016/04/11 17:36 Link
720 How To Use Elasticsearch With Python and Django ( Part 4 ) ~ (qbox.io) 2016/04/11 17:36 Link
718 How to work with large JSON datasets using Python and Pandas ~ (www.dataquest.io) 2016/04/11 17:35 Link
717 K-Means Clustering on Handwritten Digits ~ (johnloeber.com) 2016/04/11 17:35 Link
716 Learning Python For Data Science ~ (pythontips.com) 2016/04/11 17:34 Link
715 PCA, EigenFace and All That ~ (bugra.github.io) 2016/04/11 16:49 Link
714 Outlier Detection in Time-Series Signals using FFT and Median Filtering ~ (bugra.github.io) 2016/04/11 16:49 Link
713 Outlier Detection via Markov Chain Monte Carlo ~ (bugra.github.io) 2016/04/11 16:49 Link
712 Robust Regression and Outlier Detection via Gaussian Processes ~ (bugra.github.io) 2016/04/11 16:49 Link
711 Entropy and Perplexity on Image and Text ~ (bugra.github.io) 2016/04/11 16:48 Link
710 Simple Bayesian Network via Monte Carlo Markov Chain ~ (bugra.github.io) 2016/04/11 16:48 Link
709 Scala Basics Continued for Python Developers ~ (bugra.github.io) 2016/04/11 16:47 Link
708 Scala Basics for Python Developers ~ (bugra.github.io) 2016/04/11 16:46 Link
707 K-Means, Sparse Coding, Dictionary Learning and All That ~ (bugra.github.io) 2016/04/11 16:46 Link
706 API available for DataRadar.IO - Request an API KEY for free ~ (docs.dataradar.io) 2016/04/11 16:13 Link
705 Using Keras & Theano for deep learning driven jazz generation ~ (jisungk.github.io) 2016/04/11 15:43 Link
704 Spam Detection in 9 Lines of Code ~ (www.opendatascience.com) 2016/04/11 12:21 Link
703 TopModel is a service for evaluating binary classifiers. It comes with built-in metrics and comparisons ~ (github.com) 2016/04/09 20:10 Link
702 Machine Learning Meets Economics ~ (blog.mldb.ai) 2016/04/09 17:10 Link
701 Data science intro for math/phys background ~ (p.migdal.pl) 2016/04/09 13:46 Link
700 PostgreSQL Query Optimization ~ (jinchengli.me) 2016/04/09 13:37 Link
699 AI ML DL Course Materials ~ (popsnip.com) 2016/04/09 10:58 Link
698 Deep learning library featuring a higher-level API for TensorFlow ~ (github.com) 2016/04/09 10:57 Link
697 SQL Joins Visualizer ~ (sql-joins.leopard.in.ua) 2016/04/09 10:55 Link
696 Data Normalization in Python ~ (blog.yhat.com) 2016/04/09 10:52 Link
695 Containerized Data Science and Engineering - Dockerized Data Pipelines - Part 1 ~ (www.datadan.io) 2016/04/09 10:49 Link
693 Containerized Data Science and Engineering - Dockerized Data Science - Part 2 ~ (www.datadan.io) 2016/04/09 10:48 Link
692 Data Science In The Cloud ~ (www.opendatascience.com) 2016/04/09 10:45 Link
691 Attention and Memory in Deep Learning and NLP ~ (www.opendatascience.com) 2016/04/09 10:45 Link
690 The Big Data toolkit ~ (www.dataradar.io) 2016/04/09 10:44 Link
689 Intro to Machine Learning & NLP with Python and Weka ~ (www.codementor.io) 2016/04/08 13:55 Link
688 Data Modeling in Cassandra from a Postgres Perspective ~ (neovintage.org) 2016/04/08 11:06 Link
687 15 Deep Learning Libraries ~ (www.datasciencecentral.com) 2016/04/08 11:06 Link
686 Interactive Data Analysis with Python and Excel ~ (pbpython.com) 2016/04/08 11:02 Link
685 MySQL vs. PostgreSQL comparison ~ (www.anchor.com.au) 2016/04/08 10:31 Link
684 Mongoclient, Featured MongoDB Management Tool ~ (github.com) 2016/04/07 21:35 Link
683 Simple workflow for building web service APIs ~ (yahooeng.tumblr.com) 2016/04/07 21:25 Link
682 Representation Learning: the Information Bottleneck Approach ~ (www.inference.vc) 2016/04/07 20:59 Link
681 Classification And Regression Trees for Machine Learning ~ (machinelearningmastery.com) 2016/04/07 20:59 Link
680 Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs ~ (www.wildml.com) 2016/04/06 21:15 Link
679 Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano ~ (www.wildml.com) 2016/04/06 21:15 Link
678 Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients ~ (www.wildml.com) 2016/04/06 21:14 Link
677 Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano ~ (www.wildml.com) 2016/04/06 21:14 Link
676 Feature Selection with the Caret R Package ~ (machinelearningmastery.com) 2016/04/06 20:48 Link
675 Best Machine Learning Resources for Getting Started ~ (machinelearningmastery.com) 2016/04/06 20:47 Link
674 How To Implement Naive Bayes From Scratch in Python ~ (machinelearningmastery.com) 2016/04/06 20:46 Link
673 Tutorial To Implement k-Nearest Neighbors in Python From Scratch ~ (machinelearningmastery.com) 2016/04/06 20:46 Link
672 Bayesian update with a multivariate normal distribution ~ (allendowney.blogspot.fr) 2016/04/06 20:44 Link
671 Genome Analysis Toolkit: Now Using Apache Spark for Data Processing ~ (blog.cloudera.com) 2016/04/06 20:43 Link
670 Deep Learning Textbook ~ (machinelearningmastery.com) 2016/04/06 20:43 Link
669 Modern Pandas Python For Data Analysis (Part 1) ~ (tomaugspurger.github.io) 2016/04/06 13:28 Link
668 Modern Pandas Python For Data Analysis (Part 2): Method Chaining ~ (tomaugspurger.github.io) 2016/04/06 13:27 Link
667 Modern Pandas Python For Data Analysis (Part 3): Indexes ~ (tomaugspurger.github.io) 2016/04/06 13:27 Link
666 Modern Pandas Python For Data Analysis (Part 4) - Performance ~ (tomaugspurger.github.io) 2016/04/06 13:27 Link
665 Modern Pandas Python For Data Analysis (Part 5) - Tidy Data ~ (tomaugspurger.github.io) 2016/04/06 13:26 Link
664 Modern Pandas Python For Data Analysis (Part 6) - Visualization ~ (tomaugspurger.github.io) 2016/04/06 13:26 Link
663 Modern Pandas Python For Data Analysis (Part 7) - Time Series ~ (tomaugspurger.github.io) 2016-05-20 00:05 Link
662 Logistic Regression Tutorial for Machine Learning ~ (machinelearningmastery.com) 2016/04/06 13:25 Link
661 Measuring distance between objects in an image with OpenCV ~ (www.pyimagesearch.com) 2016/04/06 13:24 Link
660 Artificial Neural Networks (ANN) Introduction ~ (annalyzin.wordpress.com) 2016/04/06 02:06 Link
659 The perfect computer vision environment: PyCharm, OpenCV, and Python virtual environments ~ (www.pyimagesearch.com) 2016/04/03 14:55 Link
658 My Experience with CUDAMat, Deep Belief Networks, and Python ~ (www.pyimagesearch.com) 2016/04/03 14:54 Link
657 Deep dream: Visualizing every layer of GoogLeNet ~ (www.pyimagesearch.com) 2016/04/03 14:54 Link
656 Creating a face detection API with Python and OpenCV (in just 5 minutes) ~ (www.pyimagesearch.com) 2016/04/03 14:53 Link
655 The complete guide to building an image search engine with Python and OpenCV ~ (www.pyimagesearch.com) 2016/04/03 14:51 Link
654 Zero-parameter, automatic Canny edge detection with Python and OpenCV ~ (www.pyimagesearch.com) 2016/04/03 14:51 Link
652 Adding a web interface to our image search engine with Flask ~ (www.pyimagesearch.com) 2016/04/03 14:49 Link
651 Multi-scale Template Matching using Python and OpenCV ~ (www.pyimagesearch.com) 2016/04/03 14:49 Link
650 A series of OpenCV convenience functions ~ (www.pyimagesearch.com) 2016/04/03 14:48 Link
649 Train your own custom image classifiers, object detectors, and object trackers ~ (www.pyimagesearch.com) 2016/04/03 14:47 Link
648 How to Represent Data with Intelligent Use of the Coordinate System ~ (blog.clevertap.com) 2016/04/03 13:30 Link
647 Exploring the Relationship between Variables Visually ~ (blog.clevertap.com) 2016/04/03 13:29 Link
646 Getting Started with Deep Learning and Python ~ (www.pyimagesearch.com) 2016/04/03 13:24 Link
645 My Top 9 Favorite Python Libraries for Building Image Search Engines ~ (www.pyimagesearch.com) 2016/04/03 13:19 Link
644 Practical Guide to Principal Component Analysis (PCA) in R & Python ~ (www.analyticsvidhya.com) 2016/04/03 13:16 Link
643 How to Remove Duplicates in Large Datasets ~ (blog.clevertap.com) 2016/04/03 12:52 Link
642 Measuring size of objects in an image with OpenCV ~ (www.pyimagesearch.com) 2016/04/03 10:49 Link
641 Deep Learning on Amazon EC2 GPU with Python and nolearn ~ (www.pyimagesearch.com) 2016/04/03 10:49 Link
640 Hobbits and Histograms - A How-To Guide to Building Your First Image Search Engine in Python ~ (www.pyimagesearch.com) 2016/04/03 10:48 Link
639 OpenCV and Python K-Means Color Clustering ~ (www.pyimagesearch.com) 2016/04/03 10:47 Link
638 13 Machine Learning & Data Science Startups from Y Combinator Winter 2016 ~ (www.analyticsvidhya.com) 2016/04/02 20:25 Link
637 Pandas-summary - An extension to pandas dataframes describe function. ~ (github.com) 2016/04/01 17:04 Link
636 Data Science - A 450h Study Path ~ (studiy.co) 2016/04/01 17:04 Link
635 FlyElephant is a platform for scientists, providing a ready-computing infrastructure for calculations, ~ (flyelephant.net) 2016/04/01 17:03 Link
634 Bitfusion.io - Introducing Monster Machines, the world’s largest cloud GPU instances on AWS ~ (www.bitfusion.io) 2016/04/01 17:02 Link
633 Pomegranate - Fast, flexible and easy to use probabilistic modelling in Python. ~ (github.com) 2016/04/01 17:00 Link
632 Druid is a fast column-oriented distributed data store. ~ (druid.io) 2016/04/01 16:54 Link
631 Interactive Analytics on GitHub Data using PostgreSQL with Citus | Citus Data ~ (www.citusdata.com) 2016/04/01 16:47 Link
630 The real value of containers for data science ~ (blog.dominodatalab.com) 2016/04/01 16:46 Link
629 Normalized Compression Distance. A simple and useful method for text clustering. ~ (tamediadigital.ch) 2016/03/30 13:44 Link
628 More Data Visualization with Python (now with Bokeh) ~ (felipegalvao.com.br) 2016/03/30 13:43 Link
627 Logistic Regression in Python ~ (blog.yhat.com) 2016/03/30 13:42 Link
626 Nonparametric Statistics ~ (web.as.uky.edu) 2016/03/29 17:36 Link
625 Most Popular Resources on Big Data/ML/Data Science and Visualization Across the Web ~ (analyticscosm.com) 2016/03/29 17:35 Link
624 Dataproofer - A proofreader for your data ~ (github.com) 2016/03/29 12:16 Link
623 Tutorial: Misleading modelling: overfitting, cross-validation, and the bias-variance trade-off ~ (blog.cambridgecoding.com) 2016/03/29 07:44 Link
622 Neural Turing Machine in Tensorflow ~ (github.com) 2016/03/29 07:41 Link
621 Bayesian machine learning ~ (fastml.com) 2016/03/28 22:04 Link
620 Deep Learning at x.ai ~ (x.ai) 2016/03/25 18:35 Link
619 Companies impacting Open-source data science ~ (www.opendatascience.com) 2016/03/25 18:34 Link
618 10 Best Data Visualization Projects of 2015 ~ (flowingdata.com) 2016/03/24 20:29 Link
617 A guide to convolution arithmetic for deep learning ~ (arxiv.org) 2016/03/24 20:29 Link
616 I Want Hue - Colors for data scientists ~ (tools.medialab.sciences-po.fr) 2016/03/24 20:28 Link
615 Open Data Science - Conferences & Tech Blogs ~ (www.opendatascience.com) 2016/03/24 19:16 Link
614 Impact or No? -- Simple Event Study in SQL Part I ~ (periscopedata.com) 2016/03/24 15:15 Link
612 SigOpt for ML: TensorFlow ConvNets on a Budget with Bayesian Optimization ~ (blog.sigopt.com) 2016/03/24 15:15 Link
610 DataQuo.net - A Narrative Way To Share And Discover Awesome Data Science Contents ~ (medium.com) 2016/03/24 11:02 Link
609 Building a High-Throughput Data Science Machine ~ (blog.dominodatalab.com) 2016/03/24 09:26 Link
608 Co.cycles - the Search Engine for Open Source Code ~ (cocycles.com) 2016/03/23 21:59 Link
607 Text Analysis of Republican Presidential Debates ~ (klondata.wordpress.com) 2016/03/23 16:12 Link
606 Wrap your project manager in REST API - Bob as a service platform ~ (bobas.io) 2016/03/23 10:41 Link
605 Bokeh is a Python interactive visualization library ~ (bokeh.pydata.org) 2016/03/23 10:09 Link
604 How to Treat Missing Values in Your Data Project : Part I ~ (blog.clevertap.com) 2016/03/22 18:46 Link
603 How to Treat Missing Values in Your Data Project : Part II ~ (blog.clevertap.com) 2016/03/22 18:46 Link
602 Extracting image metadata at scale ~ (techblog.netflix.com) 2016/03/22 18:46 Link
601 Python, Machine Learning, and Language Wars ~ (sebastianraschka.com) 2016/03/22 14:31 Link
600 A Neural Network in 11 lines of Python (Part 1) - A bare bones neural network implementation to describe the inner workings of backpropagation. ~ (iamtrask.github.io) 2016/03/22 14:28 Link
599 Fundamentals of Deep Learning - Starting with Artificial Neural Network ~ (www.analyticsvidhya.com) 2016/03/21 23:39 Link
598 Large Data with Scikit-Learn ~ (alexperrier.github.io) 2016/03/21 23:39 Link
597 Gentle Introduction to the Bias-Variance Trade-Off in Machine Learning ~ (machinelearningmastery.com) 2016/03/21 23:38 Link
596 Overfitting and Underfitting With Machine Learning Algorithms ~ (machinelearningmastery.com) 2016/03/21 23:38 Link
595 Ordering coordinates clockwise with Python and OpenCV ~ (www.pyimagesearch.com) 2016/03/21 23:38 Link
594 Best Practices for Designing a Pragmatic RESTful API ~ (www.vinaysahni.com) 2016/03/21 15:30 Link
593 How To Become A Machine Learning Expert In One Simple Step ~ (swanintelligence.com) 2016/03/21 12:56 Link
592 Learning machine learning ~ (ben-evans.com) 2016/03/21 11:07 Link
591 DGraph - Scalable, Distributed, Low Latency, High Throughput Graph Database. ~ (dgraph.io) 2016/03/21 11:06 Link
590 Genomic Data Visualization in Python ~ (fullstackdatascientist.io) 2016/03/21 11:03 Link
589 Simple Estimation of Hierarchical Events with Petersburg ~ (www.willmcginnis.com) 2016/03/21 11:02 Link
588 Datumbox Machine Learning Framework 0.7.0 Released ~ (blog.datumbox.com) 2016/03/21 11:01 Link
587 Lift analysis - A data scientist's secret weapon ~ (blog.datalifebalance.com) 2016/03/21 11:01 Link
586 BlackBox Challenge - Artificial Intelligence programming competition ~ (blackboxchallenge.com) 2016/03/21 11:00 Link
585 Unsupervised Computer Vision: The State of the Art ~ (multithreaded.stitchfix.com) 2016/03/21 11:00 Link
584 Reshaping in Pandas – Pivot, Pivot-Table, Stack and Unstack explained with Pictures ~ (nikolaygrozev.wordpress.com) 2016/03/21 11:00 Link
583 Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department ~ (multithreaded.stitchfix.com) 2016/03/21 10:59 Link
582 What data visualization tools do /r/DataIsBeautiful OC creators use? ~ (www.randalolson.com) 2016/03/21 10:59 Link
581 Open Data Inception - 1600+ Open Data Portals Around the World ~ (opendatainception.io) 2016/03/21 10:22 Link
580 Rapid API Prototyping with Bottle.py ~ (www.born2data.com) 2016/03/19 14:18 Link
579 Dragon: A distributed graph query engine ~ (code.facebook.com) 2016/03/18 17:02 Link
578 Reinforcement Learning: An Introduction ~ (www.dataradar.io) 2016/03/18 17:01 Link
577 Teach Yourself Deep Learning with TensorFlow and Udacity ~ (googleresearch.blogspot.fr) 2016/03/18 16:55 Link
576 Analyzing Your Email with SQL ~ (periscopedata.com) 2016/03/18 16:55 Link
575 10 Years of Open Source Machine Learning ~ (medium.com) 2016/03/18 16:54 Link
573 Seven Big Data Technologies (and When to Use Them) that All Data Engineers Should Know ~ (www.galvanize.com) 2016/03/18 16:54 Link
572 Computing Classification Evaluation Metrics in R ~ (blog.revolutionanalytics.com) 2016/03/18 16:53 Link
571 Darknet is an open source neural network framework written in C and CUDA ~ (pjreddie.com) 2016/03/18 16:53 Link
570 IaaS vs. PaaS vs. CaaS - Which Cloud Architecture is right for you? Part 1 ~ (blog.containership.io) 2016/03/18 16:50 Link
569 IaaS vs. PaaS vs. CaaS?—?Which Cloud Architecture is Right For You? Part 2 ~ (blog.containership.io) 2016/03/18 16:50 Link
568 How to Detect Outliers Using Parametric and Non-Parametric Methods : Part I ~ (blog.clevertap.com) 2016/03/18 16:48 Link
567 How to Detect Outliers Using Parametric and Non-Parametric Methods : Part II ~ (blog.clevertap.com) 2016/03/18 16:48 Link
566 Information Theory, Inference, and Learning Algorithms ~ (www.inference.phy.cam.ac.uk) 2016/03/18 16:46 Link
565 Deep Spreadsheets with ExcelNet ~ (www.deepexcel.net) 2016/03/18 16:46 Link
564 Elements of API design: Delivering a flawless NFL experience ~ (yahooeng.tumblr.com) 2016/03/18 16:40 Link
563 SUN3D: A Database of Big Spaces Reconstructed using SfM and Object Labels ~ (sun3d.cs.princeton.edu) 2016/03/16 00:12 Link
562 Some thoughts about deep learning criticism ~ (mirror2image.wordpress.com) 2016/03/16 00:09 Link
561 Deep Learning vs Machine Learning vs Pattern Recognition ~ (www.computervisionblog.com) 2016/03/16 00:08 Link
560 Three Fundamental Dimensions for Thinking About Machine Learning Systems ~ (www.computervisionblog.com) 2016/03/16 00:07 Link
559 12 Things to consider when deploying HTTP Services ~ (multithreaded.stitchfix.com) 2016/03/16 00:05 Link
558 How To Get Started With Machine Learning in R (get results in one weekend) ~ (machinelearningmastery.com) 2016/03/16 00:05 Link
557 One More Reason Not To Be Scared of Deep Learning ~ (www.lab41.org) 2016/03/16 00:05 Link
556 13 Tips to Not Win a Data Hackathon, Every Time ~ (www.dataiku.com) 2016/03/16 00:04 Link
555 A map of the PyData Stack ~ (peadarcoyle.wordpress.com) 2016/03/16 00:04 Link
554 A (small) introduction to Boosting ~ (codesachin.wordpress.com) 2016/03/16 00:04 Link
553 How To Talk About Data in Machine Learning (Terminology from Statistics and Computer Science) ~ (machinelearningmastery.com) 2016/03/15 23:57 Link
552 How Machine Learning Algorithms Work (they learn a mapping of input to output) ~ (machinelearningmastery.com) 2016/03/15 23:56 Link
551 Supervised and Unsupervised Machine Learning Algorithms ~ (machinelearningmastery.com) 2016/03/15 23:56 Link
550 10 Deep Learning Terms Explained in Simple English ~ (blog.aylien.com) 2016/03/15 23:55 Link
549 Scala’s Types of Types ~ (ktoso.github.io) 2016/03/15 17:04 Link
548 Open Source Winning Against Proprietary Data Science Vendors ~ (blog.dominodatalab.com) 2016/03/15 17:01 Link
547 How to learn Machine Learning? ~ (medium.com) 2016/03/15 17:01 Link
546 Descriptive Statistics in SQL ~ (www.jeannicholashould.com) 2016/03/15 14:11 Link
545 EasyLambda: Data processing with modern C++ and MPI. Modular, parallel, based on data-flow with map and reduce. ~ (github.com) 2016/03/15 14:10 Link
544 Introduction to Scikit Flow - A Simplified Interface to TensorFlow ~ (terrytangyuan.github.io) 2016/03/15 14:07 Link
543 Scalable reverse image search built on Kubernetes and Elasticsearch ~ (github.com) 2016/03/15 09:01 Link
542 A R/Shiny app for interactive RNN tensorflow models ~ (github.com) 2016/03/15 08:55 Link
541 Neural Networks Demystified ~ (lumiverse.io) 2016/03/14 18:10 Link
540 A simpler way to merge data streams ~ (medium.com) 2016/03/11 09:14 Link
539 Let’s talk about graph databases ~ (www.cray.com) 2016/03/11 09:13 Link
538 Bayesian Estimation of G Train Wait Times ~ (www.jamesdreiss.com) 2016/03/11 09:12 Link
537 Rolling Classifications by X Previous Aggregations ~ (periscopedata.com) 2016/03/10 15:16 Link
535 Genomic Ranges: An Introduction to Working with Genomic Data ~ (blog.dominodatalab.com) 2016/03/10 14:09 Link
534 Train your own image classifier with Inception in TensorFlow ~ (googleresearch.blogspot.fr) 2016/03/10 14:08 Link
533 Data Society - A new Data Science Learning Platform ~ (101.datascience.community) 2016/03/08 22:23 Link
532 SQL for Data Analysis ~ (www.jeannicholashould.com) 2016/03/08 22:22 Link
531 Deep Learning: Nine Lectures at Collège de France ~ (cilvr.nyu.edu) 2016/03/08 22:22 Link
530 It’s Time To Stop Misusing P-Values ~ (fivethirtyeight.com) 2016/03/08 22:21 Link
529 The Hacker's Machine Learning Engine ~ (github.com) 2016/03/08 14:39 Link
528 Introducing GraphFrames ~ (databricks.com) 2016/03/04 13:11 Link
527 Top Slack Communities for Data Enthusiasts ~ (dataconomy.com) 2016/03/03 16:28 Link
526 Python for Social Scientists ~ (realpython.com) 2016/03/03 10:53 Link
525 Watch Tiny Neural Nets Learn ~ (swanintelligence.com) 2016/03/03 09:24 Link
524 Super Bowl 50 According to Twitter - Sentiment Analysis of 1.8 Million Tweets ~ (aylien.com) 2016/03/03 09:23 Link
523 Using Survival Analysis and Git-Pandas to estimate Code Quality ~ (www.willmcginnis.com) 2016/03/03 09:21 Link
522 How to Succeed at Importing XML to Just About Anywhere (without converting to JSON first) ~ (blog.treasuredata.com) 2016/03/03 09:20 Link
521 EC2 for Poets ~ (ec2.forpoets.org) 2016/03/02 09:22 Link
520 TensorFlow for Poets ~ (petewarden.com) 2016/03/02 09:22 Link
518 The Data Science Workflow ~ (blog.binaryedge.io) 2016/03/01 13:44 Link
517 Histogram intersection for change detection ~ (blog.datadive.net) 2016/03/01 08:35 Link
516 Data Science and IoT Course ~ (101.datascience.community) 2016/03/01 08:34 Link
515 Python Data Visualizations ~ (www.kaggle.com) 2016/02/29 09:16 Link
514 Is deep learning a Markov chain in disguise? ~ (www.r-bloggers.com) 2016/02/28 23:52 Link
513 How to Code and Understand DeepMind's Neural Stack Machine ~ (iamtrask.github.io) 2016/02/28 23:51 Link
512 Statistical Shape Modelling: Computing the Human Anatomy ~ (www.futurelearn.com) 2016/02/26 16:40 Link
511 Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models ~ (github.com) 2016/02/26 16:40 Link
510 Machine Learning: Let Your Code Learn From Text ~ (blog.codeschool.io) 2016/02/26 14:44 Link
509 Webinar @opendatasoft - Interconnecting the list of the world's open data portals ~ (www.opendatasoft.com) 2016/02/26 13:23 Link
508 What is the difference between Data Science, Data Analysis, Big Data, Data Analytics, Data Mining and Machine Learning? ~ (onthe.io) 2016/02/25 15:24 Link
507 Probabilistic Graphical Models - Slides & Videos - Carnegie Mellon University ~ (www.cs.cmu.edu) 2016/02/25 10:55 Link
506 CaffeOnSpark brings deep learning to Hadoop and Spark clusters - By Yahoo ~ (github.com) 2016/02/25 10:53 Link
505 SqueezeNet: AlexNet-level accuracy with 50x fewer parameters ~ (github.com) 2016/02/25 10:53 Link
504 String Parsing in SQL ~ (periscopedata.com) 2016/02/25 10:51 Link
503 Portfolio Risk Analysis in SQL ~ (periscopedata.com) 2016/02/25 10:50 Link
502 Harvard - Data Science Course ~ (cs109.github.io) 2016/02/24 09:06 Link
501 Building a Streaming Search Platform ~ (insightdataengineering.com) 2016/02/24 09:06 Link
500 How to deal with Word Files in Git Systems ~ (www.born2data.com) 2016/02/23 11:57 Link
499 Bigram Frequencies in Pure SQL ~ (periscopedata.com) 2016/02/23 10:16 Link
498 Why pandas users should be excited about Apache Arrow ~ (wesmckinney.com) 2016/02/23 09:18 Link
497 Over Optimizing - A story about Kaggle ~ (www.willmcginnis.com) 2016/02/23 09:02 Link
496 Python-driven Web Applications ~ (realpython.com) 2016/02/23 08:54 Link
495 Introduction to Machine Learning Talk ~ (bayesianbiologist.com) 2016/02/23 08:49 Link
494 Getting Started with Statistics for Data Science ~ (www.jeannicholashould.com) 2016/02/22 10:24 Link
493 New Address - See you on DataRadar.IO ~ (www.dataradar.io) 2016/02/19 22:38 Link
492 Machine Learning: An In-Depth, Non-Technical Guide - Part 1 ~ (www.innoarchitech.com) 2016/02/18 10:05 Link
491 Machine Learning: An In-Depth, Non-Technical Guide - Part 2 ~ (www.innoarchitech.com) 2016/02/18 10:05 Link
490 Machine Learning: An In-Depth, Non-Technical Guide - Part 3 ~ (www.innoarchitech.com) 2016-02-22 18:31 Link
489 Machine Learning: An In-Depth, Non-Technical Guide - Part 4 ~ (www.innoarchitech.com) 2016-03-08 01:47 Link
488 Machine Learning: An In-Depth, Non-Technical Guide - Part 5 ~ (www.innoarchitech.com) 2016-03-19 18:46 Link
487 Awesome Postgres Tools & Ressources ~ (www.asad.pw) 2016/02/15 14:53 Link
486 Ensemble Methods: Elegant Techniques to Produce Improved Machine Learning Results ~ (www.pybloggers.com) 2016/02/15 09:33 Link
485 Why you should stop worrying about deep learning and deepen your understanding of causality instead ~ (yanirseroussi.com) 2016/02/15 09:32 Link
484 Data Science and the essential terms ~ (view.publitas.com) 2016/02/15 09:32 Link
482 Finding the K in K-means by Parametric Bootstrap ~ (www.win-vector.com) 2016/02/11 11:29 Link
481 50+ Data Science and Machine Learning Cheat Sheets ~ (www.kdnuggets.com) 2016/02/09 17:19 Link
480 Auto-scaling scikit-learn with Spark ~ (databricks.com) 2016/02/09 10:59 Link
479 Understanding Bayes: How to become a Bayesian in eight easy steps ~ (alexanderetz.com) 2016/02/09 10:59 Link
478 A Large Dataset of Object Scans ~ (redwood-data.org) 2016/02/09 10:58 Link
477 DeepDetect - Open Source Deep Learning Server ~ (www.deepdetect.com) 2016/02/08 11:01 Link
476 Inside secrets of data-driven US companies ~ (www.youtube.com) 2016/01/28 10:01 Link
475 CS231n Convolutional Neural Networks for Visual Recognition ~ (cs231n.github.io) 2016/01/27 18:45 Link
474 A Few Useful Things to Know about Machine Learning ~ (homes.cs.washington.edu) 2016/01/27 18:45 Link
473 Recognizing and Learning Object Categories ~ (people.csail.mit.edu) 2016/01/27 18:44 Link
472 Welcome to LabelMe, the open annotation tool. ~ (labelme2.csail.mit.edu) 2016/01/27 18:44 Link
471 Some Tips for Debugging in Deep Learning ~ (www.lab41.org) 2016/01/27 14:13 Link
470 A Statistical View of Deep Learning (VI): What is Deep? ~ (blog.shakirm.com) 2016/01/26 17:55 Link
469 Deep Learning with Spark and TensorFlow ~ (databricks.com) 2016/01/26 14:49 Link
468 The SDK for Jetpac's iOS Deep Belief image recognition framework ~ (github.com) 2016/01/26 14:49 Link
467 Speeding up your Neural Network with Theano and the GPU ~ (www.wildml.com) 2016/01/26 14:30 Link
465 Understanding Convolutional Neural Networks for NLP ~ (www.wildml.com) 2016/01/26 14:29 Link
463 Deep Learning Glossary ~ (www.wildml.com) 2016/01/26 14:29 Link
462 A Taxonomy of Deep Convolutional Neural Nets for Computer Vision ~ (journal.frontiersin.org) 2016/01/26 14:26 Link
461 Dat-Data - Version, fork, and sync data ~ (dat-data.com) 2016/01/25 01:06 Link
460 Postgres query plan visualization ~ (tatiyants.com) 2016/01/24 15:14 Link
459 Finding Nearest Neighbors in SQL ~ (periscopedata.com) 2016/01/21 13:48 Link
458 Data Science Roundup - Jan, 17 2016 ~ (pocketcluster.wordpress.com) 2016/01/21 11:20 Link
457 What is Model-Based Machine Learning? ~ (blog.yhat.com) 2016/01/21 11:19 Link
456 How to detect heteroscedasticity and rectify it? ~ (datascienceplus.com) 2016/01/14 14:11 Link
455 ConvNetJS MNIST demo in Javascript ~ (cs.stanford.edu) 2016/01/14 10:02 Link
454 Outlier Detection in SQL ~ (periscopedata.com) 2016/01/14 10:01 Link
453 The Easy Way To Learn Hard Stuff - Three steps to gain a new superpower ~ (medium.com) 2016/01/13 11:29 Link
452 Questions to Ask When Applying Deep Learning - DeepLearning4Java ~ (deeplearning4j.org) 2016/01/13 11:28 Link
451 End-To-End Memory Networks for bAbI question-answering tasks with Demo ~ (github.com) 2016/01/13 11:27 Link
450 Data Visualisation Tools & Books ~ (keshif.me) 2016/01/13 11:27 Link
449 Predictive modeling project and vulgarization article in Python ~ (github.com) 2016/01/11 12:10 Link
448 A 5-step guide to data visualization - How to display data in a meaningful way - some dos and don’ts ~ (www.elsevier.com) 2016/01/08 09:44 Link
447 Understanding LSTM Networks ( Long Short Term Memory networks ) ~ (colah.github.io) 2016/01/07 18:13 Link
446 Using CTEs and Unions to Compute Running Totals ~ (periscopedata.com) 2016/01/07 10:25 Link
445 Workflows in Python: Using Pipeline and GridSearchCV for More Compact and Comprehensive Code ~ (civisanalytics.com) 2016/01/07 10:07 Link
444 Bayes's Theorem: What's the Big Deal? ~ (blogs.scientificamerican.com) 2016/01/07 10:06 Link
443 Building a scalable platform for streaming updates and analytics ~ (www.oreilly.com) 2016/01/04 15:48 Link
442 Deep Learning Book - An MIT Press book in preparation ~ (www.deeplearningbook.org) 2016/01/04 15:47 Link
441 Feature Selection Approaches with R ~ (r-statistics.co) 2016/01/04 15:46 Link
440 Evaluation of Deep Learning Toolkits ~ (github.com) 2016/01/02 19:41 Link
439 Learning How To Code Neural Networks ~ (blog.skcript.com) 2016/01/02 19:41 Link
438 Neural Net blog with nice diagrams ~ (colah.github.io) 2015/12/28 04:07 Link
437 A Beginner’s Guide To Hadoop ~ (www.markitwrite.com) 2015/12/28 01:43 Link
436 How to trick a neural network into thinking a panda is a vulture ~ (codewords.recurse.com) 2015/12/24 22:54 Link
435 Three things I wish I knew earlier about Machine Learning ~ (peadarcoyle.wordpress.com) 2015/12/24 22:49 Link
434 Ontologies and Data Models - Are they the same? ~ (topquadrantblog.blogspot.fr) 2015/12/21 11:35 Link
433 ShapeNet: An Information-Rich 3D Model Repository ~ (shapenet.cs.stanford.edu) 2015/12/17 17:17 Link
432 Multi-dimensional Clustering Using K-Means in Postgres SQL ~ (periscopedata.com) 2015/12/17 09:50 Link
431 DataGrip 1.0 (formerly 0xDBE): A new IDE for DBs and SQL ~ (blog.jetbrains.com) 2015/12/17 09:19 Link
430 Overfitting, Regularization, and Hyperparameters ~ (dswalter.github.io) 2015/12/16 10:43 Link
429 6 Benefits of Data Modeling in the Age of Big Data ~ (datafloq.com) 2015/12/15 19:07 Link
428 Introduction to working with APIs in Python ~ (www.dataquest.io) 2015/12/14 14:40 Link
427 Cleaning CSV Data Using the Command Line and csvkit, Part 1 ~ (www.dataquest.io) 2015/12/14 14:39 Link
426 Getting more complicated with python and apache flink ~ (willmcginnis.com) 2015/12/14 14:39 Link
425 Bringing the powers of SQL into R ~ (datascienceplus.com) 2015/12/14 14:36 Link
424 The Quartz guide to bad data ~ (github.com) 2015/12/14 14:32 Link
423 Implementing a CNN for Text Classification in Tensorflow ~ (www.wildml.com) 2015/12/12 22:24 Link
422 How to Deal with Missing Values in R ~ (datascienceplus.com) 2015/12/11 15:21 Link
421 One Dimensional Clustering in Postgres ~ (periscopedata.com) 2015/12/10 18:39 Link
420 Comparing Python Clustering Algorithms ~ (nbviewer.jupyter.org) 2015/12/10 18:38 Link
419 Training an Object Classifier in Torch-7 on multiple GPUs over ImageNet ~ (github.com) 2015/12/10 18:13 Link
418 IPython kernel for Torch with visualization and plotting ~ (github.com) 2015/12/10 18:13 Link
417 Facebook to open-source AI hardware design ~ (code.facebook.com) 2015/12/10 18:09 Link
415 Beyond One-Hot: an exploration of categorical variables November 29, 2015 Posted in categorical encoding. ~ (willmcginnis.com) 2015/12/07 17:29 Link
414 Principal component analysis ~ (efavdb.com) 2015/12/07 17:27 Link
413 Jupyter, Zeppelin, Beaker: The Rise of the Notebooks ~ (www.opendatascience.com) 2015/12/07 17:19 Link
412 Not Even Scientists Can Easily Explain P-values ~ (fivethirtyeight.com) 2015/11/27 19:14 Link
411 Rotation Forest - A Classifier Ensemble based on Feature Extraction ~ (www.packtpub.com) 2015/11/27 19:14 Link
410 Adding Summary Statistics to your SQL Table ~ (periscopedata.com) 2015/11/27 19:13 Link
409 Python Knowledge Base ~ (www.quantifiedcode.com) 2015/11/27 19:13 Link
408 Efficient aggregation (and more) using data.table - R Language ~ (datascienceplus.com) 2015/11/27 19:11 Link
407 Choosing a Database for Analytics ~ (segment.com) 2015/11/27 19:10 Link
406 So You Want to Implement a Custom Loss Function? ~ (travelbythenumbers.com) 2015/11/27 19:10 Link
405 MonetDBLite for R ~ (www.monetdb.org) 2015/11/25 01:59 Link
404 Rodeo 1.1 - Markdown, Autoupdates, Feedback - An IDE For Data Science ~ (blog.yhathq.com) 2015/11/24 17:36 Link
403 Building Analytics at Simple ~ (www.simple.com) 2015/11/24 17:30 Link
402 SQL Joins For Data Analysis ~ (periscopedata.com) 2015/11/24 17:30 Link
401 C++ dynamic array library, with Python exposure ~ (speakerdeck.com) 2015/11/24 17:30 Link
400 The hardest parts of Data Science ~ (yanirseroussi.com) 2015/11/24 17:29 Link
399 Get Your Data into R: Import Data from SPSS, Stata, SAS, CSV or TXT ~ (datascienceplus.com) 2015/11/24 17:28 Link
398 Gradient Boosting Course ~ (www.youtube.com) 2015/11/24 17:28 Link
397 Simplified interface for TensorFlow (mimicking Scikit Learn) ~ (github.com) 2015/11/24 17:27 Link
396 Simpler R coding with pipes > the present and future of the magrittr package ~ (www.r-statistics.com) 2015/11/24 17:21 Link
395 How to setup a data science environment in minutes using Docker and Jupyter ~ (www.dataquest.io) 2015/11/24 17:21 Link
394 Deep Learning in a Nutshell: Core Concepts ~ (devblogs.nvidia.com) 2015/11/18 14:15 Link
393 Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning ~ (timdettmers.com) 2015/11/18 12:22 Link
392 A Full Hardware Guide to Deep Learning ~ (timdettmers.com) 2015/11/18 12:21 Link
391 How to Parallelize Deep Learning on GPUs Part 1/2: Data Parallelism ~ (timdettmers.com) 2015/11/18 12:21 Link
390 How to Parallelize Deep Learning on GPUs Part 2/2: Model Parallelism ~ (timdettmers.com) 2015/11/18 12:21 Link
389 Computer Vision companies - Look up to the future ~ (www.lengrand.fr) 2015/11/18 11:07 Link
388 Welcome to Academic Torrents! ~ (academictorrents.com) 2015/11/17 17:51 Link
387 Neural Network Papers ~ (github.com) 2015/11/17 16:50 Link
386 Extended Matlab interface for the Caffe CNN framework ~ (github.com) 2015/11/17 16:50 Link
385 How to CUDA in Python - Anaconda GPU Accelerated ~ (developer.nvidia.com) 2015/11/17 14:58 Link
384 Aggregate – A Powerful Tool for Data Frame in R ~ (datascienceplus.com) 2015/11/16 13:19 Link
383 Jonathan Frederic: The past, present, and future of Jupyter and IPython ~ (www.youtube.com) 2015/11/16 10:13 Link
382 Comparing 7 Python data visualization tools ~ (www.dataquest.io) 2015/11/16 10:13 Link
381 Data Visualization in Python: Advanced Functionality in Seaborn ~ (blog.insightdatalabs.com) 2015/11/16 10:13 Link
380 TensorFlow vs. Theano vs. Torch ~ (github.com) 2015/11/16 09:53 Link
379 Does mean centering or feature scaling affect a principal component analysis? ~ (sebastianraschka.com) 2015/11/16 09:53 Link
378 Deep Neural Decision Forests ~ (research.microsoft.com) 2015/11/16 09:37 Link
377 A python tutorial on bayesian modeling techniques (PyMC3) ~ (github.com) 2015/11/16 09:36 Link
375 Distributed Machine Learning Toolkit ~ (www.dmtk.io) 2015/11/12 13:42 Link
374 R Cheat Sheet ~ (s3.amazonaws.com) 2015/11/12 12:13 Link
373 Data Wrangling with dplyr and tidyr Cheat Sheet ~ (www.rstudio.com) 2015/11/12 12:10 Link
372 Data Visualization with ggplot2 Cheat Sheet ~ (www.rstudio.com) 2015/11/12 12:10 Link
371 Anaconda Python Cheatsheet ~ (conda.pydata.org) 2015/11/11 21:01 Link
370 Building Interactive Dashboards with Jupyter ~ (blog.dominodatalab.com) 2015/11/11 17:02 Link
369 Caffe on AWS ~ (github.com) 2015/11/10 17:00 Link
368 Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/ ~ (github.com) 2015/11/10 17:00 Link
367 Datasets for Data Mining and Data Science ~ (www.kdnuggets.com) 2015/11/10 13:58 Link
366 How To Find Simple And Interesting Multi-Gigabytes Data Set ~ (fullstackml.com) 2015/11/10 13:53 Link
365 The Mathematics of Paul Graham's Bias Test ~ (www.chrisstucchio.com) 2015/11/10 10:51 Link
364 Intro to Data & Code (Resources, Tutorials, Etc ...) ~ (lenagroeger.s3.amazonaws.com) 2015/11/10 10:47 Link
363 Essentials of Machine Learning Algorithms (with Python and R Codes) ~ (www.analyticsvidhya.com) 2015/11/09 22:56 Link
362 SciPy 2015 Scikit-learn Tutorial ~ (github.com) 2015/11/05 15:36 Link
361 Out-of-core Learning and Model Persistence using scikit-learn ~ (github.com) 2015/11/05 15:35 Link
360 GPUs and Neural Networks ~ (www.opendatascience.com) 2015/11/05 15:35 Link
359 How I Made a Neural Network Web Application in an Hour ~ (www.opendatascience.com) 2015/11/05 15:28 Link
358 Evolution of Deep Learning Models ~ (www.opendatascience.com) 2015/11/05 15:24 Link
356 Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller & Kyle Kastner Part I ~ (www.youtube.com) 2015/11/05 14:43 Link
355 Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller & Kyle Kastner Part II ~ (www.youtube.com) 2015/11/05 14:43 Link
354 Riding on Large Data with Scikit-learn // What is a Large Dataset ? ~ (www.opendatascience.com) 2015/11/05 14:28 Link
352 10 Ways to Write Cleaner Code ~ (blog.codeschool.io) 2015/10/30 10:35 Link
351 SQL vs NoSQL KO. Postgres vs Mongo ~ (www.airpair.com) 2015/10/30 10:29 Link
350 Performance in Big Data Land: Every CPU cycle matters ~ (eng.localytics.com) 2015/10/29 09:43 Link
349 Caffe is a deep learning framework made with expression, speed, and modularity in mind ~ (caffe.berkeleyvision.org) 2015/10/28 11:00 Link
348 A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm ~ (www-cs.stanford.edu) 2015/10/27 12:24 Link
347 A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks ~ (www-cs.stanford.edu) 2015/10/27 12:24 Link
344 The Ultimate Guide to Data Science Blogs (150 and Counting) ~ (blog.rjmetrics.com) 2015/10/27 12:07 Link
343 Getting started with Pandas ~ (efavdb.com) 2015/10/27 12:06 Link
342 Learning to learn, or the advent of augmented data scientists ~ (chronicles.mfglabs.com) 2015/10/27 11:50 Link
341 The Civis API: Scale Up Your Data Science ~ (civisanalytics.com) 2015/10/27 11:48 Link
340 To Jupyter and beyond ~ (blog.dominodatalab.com) 2015/10/27 11:47 Link
339 Deep Learning Libraries by Language ~ (www.teglor.com) 2015/10/27 11:44 Link
338 Machine Learning Libraries ~ (www.mln.io) 2015/10/27 11:43 Link
337 Rolling in the Deep (Learning) ~ (chronicles.mfglabs.com) 2015/10/27 11:37 Link
336 Getting started with machine learning in Python ~ (www.dataquest.io) 2015/10/27 11:00 Link
335 Data Science Interview Questions ~ (www.itshared.org) 2015/10/27 10:59 Link
334 What a Deep Neural Network thinks about your #selfie ~ (karpathy.github.io) 2015/10/26 13:50 Link
333 Learning Path : Best way to learn Machine Learning in 6 easy steps ~ (www.analyticsvidhya.com) 2015/07/03 17:16 Link
332 Setting up GPU Learning on EC2 ~ (www.startup.ml) 2015/07/03 17:15 Link
331 The Potential of the Intel Xeon Phi for Supervised Deep Learning ~ (arxiv.org) 2015/07/02 18:27 Link
330 Interactive in-browser 3D visualization of datasets ~ (fastml.com) 2015/07/02 11:24 Link
329 Difference between Machine Learning & Statistical Modeling ~ (www.analyticsvidhya.com) 2015/07/02 11:20 Link
328 Visualising High-Dimensional Data ~ (blog.applied.ai) 2015/07/02 11:20 Link
327 Representing data by sparse combination of contextual data points for classification ~ (arxiv.org) 2015/07/02 11:15 Link
326 Random Forest Classifiers as a Web Service in PHP ~ (daynebatten.com) 2015/07/02 11:15 Link
325 The Definitive Guide to Do Data Science for Good ~ (blog.datalook.io) 2015/07/02 11:13 Link
324 Quick Guide: Steps To Perform Text Data Cleaning in Python ~ (www.analyticsvidhya.com) 2015/06/30 17:30 Link
323 Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation ~ (arxiv.org) 2015/06/30 17:30 Link
322 An automatic and efficient foreground object extraction scheme ~ (arxiv.org) 2015/06/30 17:29 Link
321 Human Shape Variation - An Efficient Implementation using Skeleton ~ (arxiv.org) 2015/06/30 17:29 Link
320 Unsupervised Feature Learning and Deep Learning ~ (openclassroom.stanford.edu) 2015/06/30 17:28 Link
319 Working With Large Excel Files in Pandas ~ (realpython.com) 2015/06/29 20:51 Link
318 Spinning Up a Free Hadoop Cluster: Step by Step - AWS ~ (insightdataengineering.com) 2015/06/29 11:25 Link
317 Epipolar Geometry from Temporal Signatures and Dynamic Silhouettes ~ (arxiv.org) 2015/06/26 11:18 Link
316 Deep CNN Ensemble with Data Augmentation for Object Detection ~ (arxiv.org) 2015/06/25 16:58 Link
315 Salient Object Detection via Objectness Measure ~ (arxiv.org) 2015/06/25 16:56 Link
314 Making cython as easy as python ~ (github.com) 2015/06/25 16:56 Link
313 Rapier - Convert R Code to a Web API ~ (www.r-bloggers.com) 2015/06/25 16:54 Link
312 RStudio adds custom domains, bigger data and package support to shinyapps.io ~ (www.r-bloggers.com) 2015/06/25 16:54 Link
311 Running RStudio on Digital Ocean, AWS etc Using Tutum and Docker Containers ~ (www.r-bloggers.com) 2015/06/24 19:22 Link
310 Productionizing Deep Learning from the Ground Up - Adam Gibson ~ (www.opendatascience.com) 2015/06/24 19:21 Link
309 Clean Thesis is a clean, simple, and elegant LaTeX style for thesis documents. ~ (cleanthesis.der-ric.de) 2015/06/24 19:15 Link
308 Infographic: Must Read Books in Analytics / Data Science ~ (www.analyticsvidhya.com) 2015/06/24 13:33 Link
307 Autonomous 3D Reconstruction Using a MAV ~ (arxiv.org) 2015/06/24 13:33 Link
306 Data Science 101: Interactive Analysis with Jupyter, Pandas and Treasure Data ~ (blog.treasuredata.com) 2015/06/24 13:32 Link
305 8 Best Python IDE ~ (designdrizzle.com) 2015/06/24 13:31 Link
304 PyMC3 Beta - A new probabilistic programming framework for Python. ~ (jsalvatier.wordpress.com) 2015/06/22 11:25 Link
303 Building Tools for Hyperparameter Search ~ (blog.dato.com) 2015/06/22 11:25 Link
302 PySpark + Scikit-learn = Sparkit-learn ~ (github.com) 2015/06/22 11:23 Link
301 Don't Miss These Scripts: Otto Group Product Classification ~ (blog.kaggle.com) 2015/06/22 11:23 Link
300 Kaggle Ensembling Guide ~ (mlwave.com) 2015/06/22 11:22 Link
299 4 Reasons Not To Use MySQL For Analysis ~ (periscope.io) 2015/06/22 11:22 Link
298 A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. ~ (getawesomeness.com) 2015/06/18 17:09 Link
297 The Top 5 DevOps Dashboards Every Engineer Should Consider ~ (blog.takipi.com) 2015/06/16 03:07 Link
296 CloudCV: Large Scale Distributed Computer Vision as a Cloud Service ~ (arxiv.org) 2015/06/15 12:04 Link
295 Machine Learning basics for a newbie ~ (www.analyticsvidhya.com) 2015/06/15 12:04 Link
294 Getting Mongo-ed in NoSQL manager, R & Python ~ (www.analyticsvidhya.com) 2015/06/15 12:00 Link
293 Introducing AirControl: AirPlay Mirroring from your terminal ~ (tech.adroll.com) 2015/06/14 01:01 Link
292 The Secret to Launching an App with No Experience or Time ~ (www.airpair.com) 2015/06/14 01:00 Link
291 Optimizing Python - a Case Study ~ (www.airpair.com) 2015/06/14 00:59 Link
290 Novice to Ninja: Git Minutiae ~ (www.airpair.com) 2015/06/14 00:59 Link
289 Dockerized Software Development ~ (www.airpair.com) 2015/06/14 00:58 Link
288 A Well Designed API Approach ~ (www.airpair.com) 2015/06/14 00:57 Link
287 Monitoring Python Batch Jobs ~ (www.boxever.com) 2015/06/14 00:57 Link
286 Production Deployment With Docker ~ (www.codeschool.com) 2015/06/14 00:56 Link
285 Scaling Engineering with Docker ~ (tech.gc.com) 2015/06/14 00:55 Link
284 How to Ship an App (Part 2) ~ (tech.gc.com) 2015/06/14 00:55 Link
283 How to Ship an App (Part 1) ~ (tech.gc.com) 2015/06/14 00:55 Link
282 Copy MySQL database tables to Redshift with AWS Data Pipeline ~ (engineering.hoteltonight.com) 2015/06/14 00:55 Link
281 How would you define good code? This article gives a pseudo-scientific answer to that question after asking a sample of 65 developers that same question. ~ (engineering.intenthq.com) 2015/06/14 00:53 Link
280 Big Data: Size does matter, but so does speed! ~ (engineering.medallia.com) 2015/06/14 00:52 Link
279 10 Myths of Enterprise Python ~ (www.paypal-engineering.com) 2015/06/14 00:51 Link
278 Snakebasket? - ?Recursively Install Python Dependencies ~ (medium.com) 2015/06/14 00:49 Link
277 6 Reasons Why You Should Join the Next Hackathon ~ (developer.salesforce.com) 2015/06/14 00:49 Link
276 Docker at Shopify: How we built containers that power over 100,000 online shops ~ (www.shopify.com) 2015/06/14 00:48 Link
275 Building an Internal Cloud with Docker and CoreOS ~ (www.shopify.com) 2015/06/14 00:48 Link
274 The Ultimate JSON Library: JSON.simple vs GSON vs Jackson vs JSONP ~ (blog.takipi.com) 2015/06/14 00:46 Link
273 Making API Errors More Transparent ~ (www.twilio.com) 2015/06/14 00:45 Link
272 Using pandas and scikit-learn for classification tasks ~ (github.com) 2015/06/10 17:41 Link
271 Object detection via a multi-region & semantic segmentation-aware CNN model ~ (arxiv.org) 2015/06/10 17:32 Link
270 You Only Look Once: Unified, Real-Time Object Detection ~ (arxiv.org) 2015/06/09 18:52 Link
269 SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet ~ (arxiv.org) 2015/06/09 18:49 Link
268 Cheat Sheet for Exploratory Data Analysis in Python ~ (www.analyticsvidhya.com) 2015/06/09 16:27 Link
267 The Hackathon Practice Guide by Analytics Vidhya ~ (www.analyticsvidhya.com) 2015/06/08 15:28 Link
266 Simple Framework to crack a Kaggle problem statement ~ (www.analyticsvidhya.com) 2015/06/08 15:27 Link
265 Cheat sheet: Data Visualisation in Python ~ (www.analyticsvidhya.com) 2015/06/08 15:25 Link
264 Predicting customer churn with scikit-learn ~ (blog.yhathq.com) 2015/06/08 15:25 Link
263 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks ~ (arxiv.org) 2015/06/08 15:24 Link
262 Multi-view Convolutional Neural Networks for 3D Shape Recognition ~ (arxiv.org) 2015/06/08 15:24 Link
261 Deformable Deep Convolutional Neural Networks for Object Detection ~ (arxiv.org) 2015/06/08 15:24 Link
260 3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach ~ (arxiv.org) 2015/06/08 15:24 Link
259 Kaggle Competitions: How and where to begin? ~ (www.analyticsvidhya.com) 2015/06/08 12:32 Link
258 Intuitive Classification using KNN and Python ~ (blog.yhathq.com) 2015/06/03 17:46 Link
257 Getting the First Row per Group 5X Faster ~ (periscope.io) 2015/05/26 17:22 Link
256 A Few Useful Things to Know about Machine Learning ~ (homes.cs.washington.edu) 2015/05/19 01:48 Link
255 Top 10 data mining algorithms in plain English ~ (rayli.net) 2015/05/19 01:48 Link
254 Apache Mahout Samsara: The Quick Start ~ (www.itshared.org) 2015/04/24 15:22 Link
253 Rodeo: A data science IDE for Python ~ (blog.yhathq.com) 2015/04/23 17:15 Link
252 How to convert an R data.tree to JSON ~ (www.r-bloggers.com) 2015/04/21 14:11 Link
251 Understanding Bayes: A Look at the Likelihood ~ (alexanderetz.com) 2015/04/21 11:14 Link
250 Probability Cheatsheet v1.1.1 ~ (static1.squarespace.com) 2015/04/20 10:59 Link
249 Predicting Complete 3D Models of Indoor Scenes ~ (arxiv.org) 2015/04/10 11:59 Link
248 Real-time Monocular Object SLAM ~ (arxiv.org) 2015/04/10 11:59 Link
247 30 ways bitcoin changes the future of money forever ~ (www.cryptocoinsnews.com) 2015/04/03 10:45 Link
246 Tapkee an efficient C++ dimension reduction library ~ (tapkee.lisitsyn.me) 2015/04/01 11:49 Link
245 Templating SQL in python with db.py and handlebars ~ (blog.yhathq.com) 2015/04/01 11:48 Link
244 DIGITS (Deep GPU Training System) => Github ~ (github.com) 2015/04/01 11:48 Link
243 DIGITS: Deep Learning GPU Training System ~ (devblogs.nvidia.com) 2015/04/01 11:45 Link
242 Intro to Parallel Programming Using CUDA to Harness the Power of GPUs ~ (www.udacity.com) 2015/04/01 11:45 Link
241 Palladium: New Framework for managing machine learning models ~ (github.com) 2015/04/01 11:21 Link
240 Introduction to statistics with Python ~ (work.thaslwanter.at) 2015/03/24 10:45 Link
239 Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning ~ (github.com) 2015/03/24 10:45 Link
238 The Value of Data: Data Business Models ~ (codingvc.com) 2015/03/16 10:35 Link
237 Choosing a Machine Learning Classifier ~ (blog.echen.me) 2015/03/12 15:38 Link
236 Markov Chains - A visual explanation ~ (setosa.io) 2015/03/12 15:32 Link
235 Obscure C++ Features ~ (madebyevan.com) 2015/03/05 15:04 Link
234 Exact Row Counts for All Tables in MySQL and Postgres ~ (www.periscope.io) 2015/03/05 10:17 Link
233 $3000 Data Warehouse - Redshift vs. Postgres ~ (periscope.io) 2015/03/05 02:45 Link
232 Computer Vision Softwares and Ressources ~ (www.cs.cmu.edu) 2015/02/09 13:53 Link
231 Convolutional Neural Networks for Visual Recognition ~ (cs231n.stanford.edu) 2015/02/09 13:40 Link
230 Large Scale Visual Recognition Challenge 2014 (ILSVRC2014) ~ (www.image-net.org) 2015/02/06 18:08 Link
229 OpenGV - A library for solving calibrated central and non-central geometric vision problems ~ (github.com) 2015/02/06 17:11 Link
228 Practical Data Science in Python ~ (radimrehurek.com) 2015/02/06 11:25 Link
227 How to install 3 popular NoSQL databases for development in MacOSX for newbies part1 ~ (javapapo.blogspot.fr) 2015/02/01 17:35 Link
226 11 Python Libraries You Might Not Know ~ (blog.yhathq.com) 2015/01/29 02:34 Link
225 Eigenvectors and eigenvalues ~ (setosa.io) 2015/01/29 02:33 Link
224 Principal Component Analysis in 3 Simple Steps ~ (sebastianraschka.com) 2015/01/29 02:32 Link
223 Let's Write an LLVM Specializer for Python! ~ (dev.stephendiehl.com) 2015/01/29 02:32 Link
222 The Top Mistakes Developers Make When Using Python for Big Data Analytics ~ (www.airpair.com) 2015/01/29 02:32 Link
221 Mathematics & Statistics ~ (www.bitbootcamp.com) 2015/01/29 02:31 Link
220 Exploratory Data Analysis and Graphics ~ (www.astrobiased.com) 2015/01/29 02:31 Link
219 Convolutional neural networks ~ (shapeofdata.wordpress.com) 2015/01/29 02:31 Link
218 What Every Data Scientist Needs to Know about SQL ~ (joshualande.com) 2015/01/29 02:25 Link
217 Introduction to Python For Data Mining ~ (nbviewer.ipython.org) 2015/01/20 00:37 Link
216 K-means clustering is not a free lunch ~ (varianceexplained.org) 2015/01/20 00:36 Link
215 Python Scientific Lecture Notes ~ (scipy-lectures.github.io) 2015/01/20 00:36 Link
214 Command-line tools can be 235x faster than your Hadoop cluster ~ (aadrake.com) 2015/01/20 00:36 Link
213 Python Packages For Data Mining ~ (dataconomy.com) 2015/01/16 23:31 Link
212 A data analysis of iTunes' top chart algorithm ~ (medium.com) 2015/01/16 23:31 Link
211 Running R in Parallel (the easy way) ~ (blog.yhathq.com) 2015/01/16 23:26 Link
210 Deep Learning Tutorials ~ (github.com) 2015/01/16 23:26 Link
209 Fast Non-Standard Data Structures for Python ~ (kmike.ru) 2015/01/16 23:25 Link
208 Reconnaissance de Forme Statistique ~ (www-prima.imag.fr) 2015/01/11 03:05 Link
207 Understanding Big Data ~ (www.c-sharpcorner.com) 2015/01/09 11:52 Link
206 Introduction to Probability ~ (www.probabilitycourse.com) 2015/01/09 11:52 Link
205 HiScore makes creating sophisticated scores easy ~ (github.com) 2015/01/03 19:37 Link
204 Sci-Kit : Choosing the right estimator ~ (scikit-learn.org) 2015/01/03 19:36 Link
203 Abridged List of Machine Learning Topics ~ (www.startup.ml) 2015/01/03 19:36 Link
202 An Extended Version Of The Scikit-Learn Cheat Sheet ~ (medium.com) 2015/01/03 19:36 Link
201 Introduction to Machine Learning ~ (alex.smola.org) 2015/01/03 19:34 Link
200 Google I/O 2014 - Biologically inspired models of intelligence ~ (www.youtube.com) 2014/12/10 02:00 Link
199 How To Become A Data Scientist - Video ~ (www.youtube.com) 2014/12/10 02:00 Link
198 SciPy 2014 ~ (pyvideo.org) 2014/12/10 02:00 Link
197 PyData Berlin 2014 ~ (www.youtube.com) 2014/12/10 02:00 Link
196 Data Science-related Google I/O Vids ~ (www.youtube.com) 2014/12/10 02:00 Link
195 Introduction to Statistical Thinking (With R, Without Calculus) ~ (pluto.huji.ac.il) 2014/12/10 02:00 Link
194 Improving the way neural networks learn ~ (neuralnetworksanddeeplearning.com) 2014/12/10 02:00 Link
193 Collaborating and Sharing with Plotly ~ (nbviewer.ipython.org) 2014/12/10 02:00 Link
192 A/B testing - statistical hypothesis testing or multi-armed bandit ~ (ml.posthaven.com) 2014/12/10 02:00 Link
191 NATURE METHODS: POINTS OF SIGNIFICANCE ~ (mkweb.bcgsc.ca) 2014/12/10 02:00 Link
190 MISSQL Command is a web application designed to help you learn SQL, the language of love databases. ~ (missqlcommand.com) 2014/12/10 02:00 Link
189 Python for Exploratory Computing ~ (mbakker7.github.io) 2014/12/10 02:00 Link
188 Why Get Into Machine Learning? ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
187 Rescaling Data for Machine Learning in Python with Scikit-Learn ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
186 Penalized Regression in R ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
185 Non-Linear Regression in R with Decision Trees ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
184 Non-Linear Regression in R ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
183 Mapping Happiness With Twitter Natural Language Processing ~ (medium.com) 2014/12/10 02:00 Link
182 Model Prediction Accuracy Versus Interpretation in Machine Learning ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
181 Machine Learning Communities ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
180 Linear Regression in R ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
179 Improve Model Accuracy with Data Pre-Processing ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
178 How to Tune Algorithm Parameters with Scikit-Learn ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
177 A curated list of awesome Python frameworks libraries and software ~ (github.com) 2014/12/10 02:00 Link
176 How to Run Your First Classifier in Weka ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
175 Free Machine Learning eBooks ~ (github.com) 2014/12/10 02:00 Link
174 How to Load Data in Python with Scikit-Learn ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
173 A collection of different matplotlib plots in IPython notebooks ~ (github.com) 2014/12/10 02:00 Link
172 A repository with IPython notebooks of algorithms implemented in Python. ~ (github.com) 2014/12/10 02:00 Link
171 Feature Selection in Python with Scikit-Learn ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
170 Data Science Screencasts: A Data Origami Review ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
169 Clever Application Of A Predictive Model ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
168 Books for Machine Learning with R ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
167 A Tour of Machine Learning Algorithms ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
166 Applied Machine Learning Lessons from A Case Study of Passenger Survival Prediction ~ (machinelearningmastery.com) 2014/12/10 02:00 Link
165 Third Annual GitHub Data Challenge ~ (github.com) 2014/12/10 02:00 Link
164 Introduction to Gaussian Processes ~ (kastnerkyle.github.io) 2014/12/10 02:00 Link
163 Fun with stats: How big of a sample size do I need? ~ (jvns.ca) 2014/12/10 02:00 Link
162 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife ~ (jmlr.org) 2014/12/10 02:00 Link
161 Statistics Just Got Sexy ~ (www.wizardmac.com) 2014/12/10 02:00 Link
160 Algorithms for Reinforcement Learning ~ (www.ualberta.ca) 2014/12/10 02:00 Link
159 Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams ~ (hgpu.org) 2014/12/10 02:00 Link
158 Quoc Le’s Lectures on Deep Learning ~ (www.trivedigaurav.com) 2014/12/10 02:00 Link
157 How a Russian mathematician constructed a decision tree - by hand - to solve a medical problem ~ (fastml.com) 2014/12/10 02:00 Link
156 Extreme Learning Machines ~ (fastml.com) 2014/12/10 02:00 Link
155 How to Become a Data Scientist ~ (www.slideshare.net) 2014/12/10 02:00 Link
154 Calibrating a classifier with isotonic regression ~ (fastml.com) 2014/12/10 02:00 Link
153 10 R Packages to Win Kaggle Competitions ~ (www.slideshare.net) 2014/12/10 02:00 Link
152 Recurrent Neural Networks for Collaborative Filtering ~ (erikbern.com) 2014/12/10 02:00 Link
151 Histogram of Oriented Gradients and Object Detection ~ (www.pyimagesearch.com) 2014/12/10 02:00 Link
150 How do I become a data scientist? An evaluation of 3 alternatives ~ (datascopeanalytics.com) 2014/12/10 02:00 Link
149 Polyglot Processing ~ (datadventures.ghost.io) 2014/12/10 02:00 Link
148 Carnegie Mellon University - Machine Learning Videos ~ (www.ml.cmu.edu) 2014/12/10 02:00 Link
147 Harvard Course - CSCI E-109 Data Science ~ (cm.dce.harvard.edu) 2014/12/10 02:00 Link
146 Everyone Can Do Data Science, Part 2 - PANDAS ~ (www.louisdorard.com) 2014/12/10 02:00 Link
145 That Way Madness Lies: Arithmetic on data.frames ~ (www.johnmyleswhite.com) 2014/12/10 02:00 Link
144 Pydata Silicon Valley 2014 Part 2 ~ (bugra.github.io) 2014/12/10 02:00 Link
143 PigPen, Hadoop, Pig, Clojure and All That ~ (bugra.github.io) 2014/12/10 02:00 Link
142 Law of Large Numbers and Central Limit Theorem ~ (bugra.github.io) 2014/12/10 02:00 Link
141 The best open source big data tools ~ (www.infoworld.com) 2014/12/10 02:00 Link
140 Beyond Tag Co-occurence: Machine Learning Infrastructure for Automatic Keyword Recommendations ~ (www.hakkalabs.co) 2014/12/10 02:00 Link
139 10 R packages I wish I knew about earlier ~ (blog.yhathq.com) 2014/12/10 02:00 Link
138 Intro to the statistics of A/B testing with Wikimedia fundraising banners ~ (blog.wikimedia.org) 2014/12/10 02:00 Link
137 How Not To Sort By Average Rating - Scoring System - Lower bound of Wilson score confidence interval for a Bernoulli parameter ~ (www.evanmiller.org) 2014/12/10 02:00 Link
136 Why Reaching and Protecting Statistical Significance is So Important in A/B Tests ~ (www.dynamicyield.com) 2014/12/10 02:00 Link
135 IBM Launches Talent Assessment to Help Students Enhance Their Data Skills ~ (www.dataversity.net) 2014/12/10 02:00 Link
134 Best Practices for Scientific Computing ~ (arxiv.org) 2014/12/10 02:00 Link
133 Recommending music on Spotify with deep learning ~ (benanne.github.io) 2014/12/10 02:00 Link
132 R Package Rankings, R Task View Rankings, etc. : Check the Rdocumentation poster ~ (blog.datacamp.com) 2014/12/10 02:00 Link
131 KCBO - A Bayesian Data Analysis Toolkit ~ (blog.henryhhammond.com) 2014/12/10 02:00 Link
130 About Feature Scaling and Normalization ~ (sebastianraschka.com) 2014/12/10 02:00 Link
129 Numeric matrix manipulation - The cheat sheet for MATLAB, Python NumPy, R, and Julia ~ (sebastianraschka.com) 2014/12/10 02:00 Link
128 An introduction to parallel programming using Python's multiprocessing module ~ (sebastianraschka.com) 2014/12/10 02:00 Link
127 Linear Discriminant Analysis bit by bit ~ (sebastianraschka.com) 2014/12/10 02:00 Link
126 An evaluation of simple Python performance tweaks ~ (sebastianraschka.com) 2014/12/10 02:00 Link
125 Using Python's sci-packages to prepare data for Machine Learning tasks and other data analyses ~ (sebastianraschka.com) 2014/12/10 02:00 Link
124 Feature Selection Algorithms in Python ~ (sebastianraschka.com) 2014/12/10 02:00 Link
123 A thorough guide to SQLite database operations in Python ~ (sebastianraschka.com) 2014/12/10 02:00 Link
122 SQLite - Working with large data sets in Python effectively ~ (sebastianraschka.com) 2014/12/10 02:00 Link
121 Learn SQL The Hard Way ~ (sql.learncodethehardway.org) 2014/12/10 02:00 Link
120 SQL Fiddle ~ (sqlfiddle.com) 2014/12/10 02:00 Link
119 Markov Chains ~ (techeffigy.wordpress.com) 2014/12/10 02:00 Link
118 Bayesian Inference ~ (ucanalytics.com) 2014/12/10 02:00 Link
117 Decision Tree (CART) ~ (ucanalytics.com) 2014/12/10 02:00 Link
116 The R User Conference 2014 ~ (user2014.stat.ucla.edu) 2014/12/10 02:00 Link
115 Sibyl: A system for large scale supervised machine learning ~ (users.soe.ucsc.edu) 2014/12/10 02:00 Link
114 A Guide to Database Performance ~ (use-the-index-luke.com) 2014/12/10 02:00 Link
113 Framework to build logistic regression model in a rare event population ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
112 Baby steps in Python ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
111 Definitive guide to prepare for an analytics interview ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
110 Using Facebook as an analyst (Hint ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
109 How to interpret hidden state in Latent Markov Model ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
108 Introduction to Markov chain : simplified! ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
107 Solve a business case using simple Markov Chain ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
106 Using statistics: How to understand population distributions? ~ (www.analyticsvidhya.com) 2014/12/10 02:00 Link
105 Mettez votre talent de data scientist au service des entreprises ~ (www.datascience.net) 2014/12/10 02:00 Link
104 Data Science Datasets ~ (www.datascienceweekly.org) 2014/12/10 02:00 Link
103 Fun with machine learning: logistic regression! ~ (jvns.ca) 2014/11/20 00:27 Link
102 An Introduction to Unsupervised Learning via Scikit Learn ~ (bugra.github.io) 2014/11/20 00:27 Link
101 A modern guide to getting started with Data Science and Python ~ (twiecki.github.io) 2014/11/20 00:25 Link
100 Introduction to Reinforcement Learning ~ (www.hakkalabs.co) 2014/11/20 00:20 Link
99 10 types of regressions. Which one to use? ~ (www.datasciencecentral.com) 2014/08/06 22:36 Link
98 A Welcome to the Data Science Toolkit ~ (www.datasciencetoolkit.org) 2014/08/06 22:15 Link
97 My First Machine Learning algorithm: Linear Regression ~ (www.data-science.tips) 2014/08/06 22:15 Link
96 Let's use data to change the world. Here's how. ~ (www.datakind.org) 2014/08/06 22:15 Link
95 Finding the Best Ticket Price - Python ~ (www.danielforsyth.me) 2014/08/06 22:15 Link
94 Baby steps in learning Python for data analysis ~ (www.analyticsvidhya.com) 2014/08/06 22:15 Link
93 What is deep learning and why is it getting so much attention? ~ (www.analyticsvidhya.com) 2014/08/06 22:15 Link
92 Introduction to MapReduce ~ (www.analyticsvidhya.com) 2014/08/06 22:15 Link
91 What is Hadoop? ~ (www.analyticsvidhya.com) 2014/08/06 22:15 Link
90 Big Data Genomics Group ~ (bdgenomics.org) 2014/08/06 22:15 Link
89 Patterns for research in machine learning ~ (arkitus.com) 2014/08/06 22:15 Link
88 Introduction to Machine Learning ~ (aihub.net) 2014/08/06 22:15 Link
87 Batch Data Processing at Spotify by Erik Bernhardsson ~ (www.hakkalabs.co) 2014/08/06 22:15 Link
86 An Introduction to Mining Big Data with Apache Spark ~ (www.hakkalabs.co) 2014/08/06 22:15 Link
85 Practical Deep Learning Lecture: Machine Perception and Its Applications ~ (www.hakkalabs.co) 2014/08/06 22:15 Link
84 Yhat Sciencebox ~ (blog.yhathq.com) 2014/08/06 22:15 Link
83 A virtual environment for data science ~ (datasciencetoolbox.org) 2014/08/06 22:15 Link
82 A C++ Machine Learning Toolkit to solve Real World Problems ~ (dlib.net) 2014/08/06 22:15 Link
81 Turing Test Success Marks Milestone In Computing History ~ (www.reading.ac.uk) 2014/08/06 22:15 Link
80 Bandits for Recommendation Systems ~ (engineering.richrelevance.com) 2014/08/06 22:15 Link
79 Statistical Inference: The Big Picture ~ (www.stat.cmu.edu) 2014/08/06 22:15 Link
78 The Mission to Bring Google ~ (www.wired.com) 2014/08/06 22:15 Link
77 Frequentism and Bayesianism IV: How to be a Bayesian in Python ~ (jakevdp.github.io) 2014/08/06 22:15 Link
76 Distributed Deep Learning Platform for Java ~ (github.com) 2014/08/06 22:15 Link
75 Keyword Tool helps you find the keywords that people are typing into Google search box ~ (keywordtool.io) 2014/08/06 22:15 Link
74 Data Science, a 45min Intros ~ (github.com) 2014/08/06 22:15 Link
73 Build a Machine Learning Portfolio ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
72 A Machine Learning library based on Theano - PyLearn2 ~ (github.com) 2014/08/06 22:15 Link
71 Some sample IPython notebooks for scikit-learn ~ (github.com) 2014/08/06 22:15 Link
70 Get Your Hands Dirty With Scikit-Learn Now ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
69 How to Get Started with Machine Learning in Python ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
68 How to Learn a Machine Learning Algorithm ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
67 How to Prepare Data For Machine Learning ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
66 Getting the Best Performance out of NumPy ~ (ipython-books.github.io) 2014/08/06 22:15 Link
65 Practical Advice for Getting Started in Machine Learning ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
64 Mode makes collaborative tools to connect the world's data and the people who analyze it. ~ (modeanalytics.com) 2014/08/06 22:15 Link
63 Prepare Data for Machine Learning in Python with Pandas ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
62 Distance Metrics Refresher/Cheat Sheet ~ (nikoreunanen.files.wordpress.com) 2014/08/06 22:15 Link
61 4 Self-Study Machine Learning Projects ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
60 The Best Machine Learning Algorithm ~ (machinelearningmastery.com) 2014/08/06 22:15 Link
59 How to Format Numbers as Currency in Postgres, MySQL and Redshift ~ (periscope.io) 2014/08/06 22:15 Link
58 HyperLogLog in Pure SQL ~ (periscope.io) 2014/08/06 22:15 Link
57 Use Subqueries to Count Distinct 50X Faster ~ (periscope.io) 2014/08/06 22:15 Link
56 Machine Learning Resource Guide PDF ~ (s3.amazonaws.com) 2014/08/06 22:15 Link
55 Machine Learning Done Wrong ~ (ml.posthaven.com) 2014/08/06 22:15 Link
54 World Cup Learning - iPython ~ (nbviewer.ipython.org) 2014/08/06 22:15 Link
53 Architecting a Machine Learning System for Risk ~ (nerds.airbnb.com) 2014/08/06 22:15 Link
52 Neural Networks and Deep Learning ~ (neuralnetworksanddeeplearning.com) 2014/08/06 22:15 Link
51 Quantopian is the first algorithmic trading platform ~ (www.quantopian.com) 2014/08/06 22:15 Link
50 A community for developers and users of Python data tools. ~ (pydata.org) 2014/08/06 22:15 Link
49 Collections: a Big List of Python-based Tools for Big Data. ~ (python2web.com) 2014/08/06 22:15 Link
48 Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages ~ (research.microsoft.com) 2014/08/06 22:15 Link
47 The Machine Learning Salon provides free information about Machine Learning and Artificial Intelligence. ~ (www.machinelearningsalon.org) 2014/05/31 20:38 Link
46 The Flaw Lurking In Every Deep Neural Net ~ (www.i-programmer.info) 2014/05/29 21:35 Link
44 Is Python Becoming the King of the Data Science Forest? ~ (www.experfy.com) 2014/05/29 21:27 Link
43 Data Analysis Learning Platform ~ (www.mysliderule.com) 2014/05/29 21:27 Link
42 IPython Notebooks for StatLearning Exercises ~ (sujitpal.blogspot.fr) 2014/05/26 09:31 Link
41 What Does a Neural Network Actually Do? ~ (moalquraishi.wordpress.com) 2014/05/26 09:28 Link
40 R beats Python! R beats Julia! Anyone else wanna challenge R? ~ (matloff.wordpress.com) 2014/05/23 01:41 Link
39 Basics of Machine Learning ~ (homepages.inf.ed.ac.uk) 2014/05/18 21:35 Link
38 SSH Tunnel - Local and Remote Port Forwarding Explained With Examples ~ (medium.com) 2014/05/18 14:54 Link
37 Brief History of Machine Learning ~ (www.erogol.com) 2014/05/18 05:40 Link
36 12 Free (as in beer) Data Mining Books ~ (christonard.com) 2014/05/18 05:40 Link
35 Generates a git repo to show a cool banner on your Github profile ~ (github.com) 2014/05/17 14:42 Link
34 Machine Learning Tutorial: High Performance Text Processing ~ (www.hakkalabs.co) 2014/05/17 14:41 Link
33 Big Data University ~ (bigdatauniversity.com) 2014/05/16 02:06 Link
32 Data Science Resources ~ (www.datascienceweekly.org) 2014/05/16 02:05 Link
31 IBM Big Data & Analytics - Youtube ~ (www.youtube.com) 2014/05/16 01:46 Link
30 Machine Learning and Econometrics (on youtube) ~ (www.youtube.com) 2014/05/15 16:37 Link
29 How to Calculate Confidence Intervals in SQL ~ (www.periscope.io) 2014/05/15 16:25 Link
28 Top 10 Algorithms in Data Mining ~ (www.cs.uvm.edu) 2014/05/15 16:13 Link
27 5 Steps to Thinking Like a Designer in Machine Learning ~ (machinelearningmastery.com) 2014/05/15 16:13 Link
26 Data Science: How to Think Like a Data Scientist ? ~ (www.quora.com) 2014/05/15 16:13 Link
25 Principles of good data analysis ~ (www.gregreda.com) 2014/05/15 16:11 Link
24 How to build a Recommendation System ~ (www.mickaellegal.com) 2014/05/15 16:11 Link
23 Great Machine Learning Resources ~ (wayfinder.co) 2014/05/15 16:04 Link
22 How to produce and use Datasets: Lessons Learned ~ (mlwave.com) 2014/05/15 16:01 Link
21 Is it Pokémon or #bigdata technology? ~ (docs.google.com) 2014/05/15 15:59 Link
20 Prose is a content editor for GitHub designed for managing websites. ~ (prose.io) 2014/05/15 02:46 Link
19 5 Essential Questions Every Data Scientist Should Ask in a Job Interview ~ (www.dataversity.net) 2014/05/14 20:16 Link
18 Zanran - The Google of Numerical Data ~ (www.zanran.com) 2014/05/14 19:47 Link
17 Learning Japonais & Kaizen ~ (makerbizz.net) 2014/05/14 19:41 Link
16 Python: Getting Started with Data Science ~ (www.datarobot.com) 2014/05/14 14:10 Link
15 Getting Up and Running with Python ~ (www.datarobot.com) 2014/05/14 14:10 Link
14 The shape of Data ~ (shapeofdata.wordpress.com) 2014/05/14 14:10 Link
13 A Large set of Machine Learning Resources for Beginners to Mavens ~ (www.erogol.com) 2014/05/14 14:10 Link
12 Exploratory Data Analysis ~ (www.itl.nist.gov) 2014/05/14 14:10 Link
11 Data Analysis Resources ~ (www.joecjr.com) 2014/05/14 14:10 Link
10 Lists for learning data science ~ (www.listudy.com) 2014/05/14 14:10 Link
9 Intro to Data Analysis ~ (www.mysliderule.com) 2014/05/14 14:10 Link
8 How to Lie with Data Visualization ~ (data.heapanalytics.com) 2014/05/14 14:10 Link
7 Nutonian - Machine Learning Software ~ (www.nutonian.com) 2014/05/14 14:10 Link
5 Exploring Machine Learning with Scikit-learn ~ (www.pyvideo.org) 2014/05/14 14:10 Link
4 How to formulate a (science) problem and analyze it using Python code ~ (www.pyvideo.org) 2014/05/14 14:10 Link
3 Bayesian statistics made simple (3hours video) ~ (www.pyvideo.org) 2014/05/14 14:10 Link
2 The Seductive Trap of Black-Box Machine Learning ~ (machinelearningmastery.com) 2014/05/14 14:10 Link
1 One Page R: A Survival Guide to Data Science with R ~ (onepager.togaware.com) 2014/05/14 14:10 Link

Contact Me