Data Science Resources


Machine Learning

Big Data Books


Entrepreneurs in Data Science




Machine Learning

Methods that are having most impact in industry today are:

  • Logistic regression
  • Decision trees
  • Boosting
  • Deep Learning

Tools and Libraries

Courses / Certifications / Competitions

Deep Learning / Neural Network

Articles / Papers

Computer Vision

Science fiction

Data Science


Data Visualization

Graph Analytics


  • OpenIntro
  • Introduction to Statistical Learning – Free Download
  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, Jerome Friedman – Free Download
  • Think Stats – Alien B Downey – Free Download
  • From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science – Free Download
  • Introduction to Bayesian Statistics – William M Bolstad – Free Download
  • Discovering Statistics using R – @amazon
  • Convex Optimization by Stephen Boyd – Book
  • R in a Nutshell by Joseph Adler –
  • R for Everyone: Advanced Analytics and Graphics by Jared Lander (Addison – Wesley Data and Analytics) –
  • The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff –
  • Statistical Inference by Casella –
  • Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) by Andrew Gelman
  • Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research) by Andrew Gelman
  • Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi – Link


Artificial Intelligence and Machine Learning

  • Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher Bishop
  • Bayesian Reasoning and Machine Learning Kindle Edition by David Barber –
  • Programming Collective Intelligence: Building Smart Web 2.0 Applications –
  • Artificial Intelligence: A Modern Approach by Stuart Russell –
  • Foundations of Machine Learning (Adaptive Computation and Machine Learning series) by Mehryar Mohri –
  • Introduction to Machine Learning (Adaptive Computation and Machine Learning series) by Ethem Alpaydin –
  • Field Experiments – Design, Analysis, and Interpretation by Alan S. Gerber –
  • Statistics for Experimenters: Design, Innovation, and Discovery (Wiley Series in Probability and Statistics) by George E. P. Box –
  • The Elements of Graphing Data by William S. Cleveland –
  • Visualize This: The FlowingData Guide to Design, Visualization, and Statistics by Nathan Yau –
  • The Visual Display of Quantitative Information by Edward R. Tufte –

Data Mining

Natural Language Processing


Data / Datasets

Collecting Data for Intelligence


Reading / Watching List

Data Science Conferences

Big Data




Apache Flink is an open source platform for distributed stream and batch data processing.

Courses / Training

Sentiment Analysis



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