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

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‍Data Driven: Profiting from Your Most Important Business Asset

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‍Competing on Analytics: The New Science of Winning

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‍Data Analysis with Open Source Tools

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‍Data Source Handbook

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

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Data Science

‍Doing Data Science: Straight Talk from the Frontline

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‍Data Smart: Using Data Science to Transform Information into Insight

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

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Statistics

‍An Introduction to Statistical Learning: with Applications in R

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‍Data Analysis Using Regression and Multilevel/Hierarchical Models

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‍Statistics As Principled Argument

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‍A Handbook of Statistical Analyses Using R, Second Edition

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‍Mathematical Statistics and Data Analysis (with CD Data Sets)

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Machine Learning

‍Pattern Recognition and Machine Learning

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‍Bayesian Reasoning and Machine Learning

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‍Machine Learning: A Probabilistic Perspective

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‍The LION Way: Learning plus Intelligent Optimization

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Natural Language Processing (NLP)

‍Speech and Language Processing, 2nd Edition

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‍Foundations of Statistical Natural Language Processing

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‍Natural Language Processing with Python

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‍Graph-based Natural Language Processing and Information Retrieval

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

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Data Visualization

‍Visualizing Data: Exploring & Explaining Data with Processing Environment

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‍The Visual Display of Quantitative Information

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Data Mining

‍Mining of Massive Datasets

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‍Data-Intensive Text Processing with MapReduce

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‍Data Mining with R: Learning with Case Studies

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R

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

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‍R Graphics Cookbook

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Python

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

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‍Learning Python, 5th Edition

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Spark

‍Learning Spark: Lightning-fast big data analytics

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‍Fast Data Processing with Spark

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Big Data Tools

‍Hadoop: The Definitive Guide

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‍Programming Pig

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‍Practical Cassandra: A Developer's Approach

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