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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


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


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


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


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


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


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


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


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


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.