Data Science Books

A list of books covering Data Analysis, Data Science, Machine Learning, Data Visualization, Statistics & Associated Programming Languages


Book of the Month


Data Scientists at Work
A collection of interviews with 16 of the world's most influential and innovative data scientists from across the spectrum of this hot new profession - from Yann LeCun at Facebook, to Daniel Tunkelang at LinkedIn, to Caitlin Smallwood at Netflix, to Jake Porway at DataKind and more ...

General


Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving


Data Driven: Profiting from Your Most Important Business Asset


Competing on Analytics: The New Science of Winning


Data Analysis with Open Source Tools


Data Source Handbook


Who's #1?: The Science of Rating and Ranking


Data Science


Doing Data Science: Straight Talk from the Frontline


Data Smart: Using Data Science to Transform Information into Insight


Data Science for Business:
What you need to know about data mining and data-analytic thinking



Statistics


An Introduction to Statistical Learning: with Applications in R


Data Analysis Using Regression and Multilevel/Hierarchical Models


Statistics As Principled Argument


A Handbook of Statistical Analyses Using R, Second Edition


Mathematical Statistics and Data Analysis (with CD Data Sets)


Machine Learning


Pattern Recognition and Machine Learning


Bayesian Reasoning and Machine Learning


Machine Learning: A Probabilistic Perspective


The LION Way: Learning plus Intelligent Optimization


Natural Language Processing (NLP)


Speech and Language Processing, 2nd Edition


Foundations of Statistical Natural Language Processing


Natural Language Processing with Python


Graph-based Natural Language Processing and Information Retrieval


Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. Second revised edition


Data Visualization


Visualizing Data: Exploring & Explaining Data with Processing Environment


The Visual Display of Quantitative Information


Data Mining


Mining of Massive Datasets


Data-Intensive Text Processing with MapReduce


Data Mining with R: Learning with Case Studies


R


The Art of R Programming: A Tour of Statistical Software Design


R Graphics Cookbook


Python


Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython


Learning Python, 5th Edition


Spark


Learning Spark: Lightning-fast big data analytics


Fast Data Processing with Spark


Big Data Tools


Hadoop: The Definitive Guide


Programming Pig


Practical Cassandra: A Developer's Approach



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