Data Science Resources

Books

Machine Learning

Big Data Books

Python

Entrepreneurs in Data Science

Visualization

Matematics

General

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

Competitions

Data Visualization

Graph Analytics

Statistics

  • 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 @amazon.in
  • R in a Nutshell by Joseph Adler – Book@amazon.in
  • R for Everyone: Advanced Analytics and Graphics by Jared Lander (Addison – Wesley Data and Analytics) – Book@amazon.in
  • The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff – Book@amazon.in
  • Statistical Inference by Casella – Book@amazon.in
  • Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) by Andrew Gelman Book@amazon.in
  • Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research) by Andrew Gelman Book@amazon.in
  • Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi – Link

Mathematics

Artificial Intelligence and Machine Learning

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

Data Mining

Natural Language Processing

Python

Data / Datasets

Collecting Data for Intelligence

Others

Reading / Watching List

Data Science Conferences

Big Data

Videos

Articles

Tools

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

Courses / Training

Sentiment Analysis

Scala

Spark

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