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Machine Learning Cheat Sheet

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This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

Learning to Love Data Science

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With this anthology of reports, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.

Storytelling with Data: A Data Visualization Guide for Business Professionals

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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data.

Guerrilla Analytics: A Practical Approach to Working with Data

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In this book, you will learn about the Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.

Data Scientists at Work

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Data Scientists at Work is a collection of interviews with sixteen of the world’s most influential and innovative data scientists from across the spectrum of this hot new profession.

The Elements of Statistical Learning

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This book describes the important ideas in statistics, data mining, machine learning, and bioinformatics in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics.

Data Smart: Using Data Science to Transform Information into Insight

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Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet.

Practical Data Science with R

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Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations using examples from marketing, business intelligence, and decision support.

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

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This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems.

Python Cookbook

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Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.