# Content: Books / Free eBooks

Change Search Criteria:### Machine Learning Cheat Sheet

Books / Cheat Sheets / Free eBooks / References, Learning Guides, Etc.This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

### Think Bayes

Books / Free eBooks / physical books or multiple formatsUse your existing programming skills to learn and understand Bayesian statistics. Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing.

### What Is Data Science?

Books / Free eBooksWhy do we suddenly care about statistics and about data? This report examines the many sides of data science — the technologies, the companies and the unique skill sets.

### Data Analysis for the Life Sciences

Books / Free eBooks / physical books or multiple formatsData analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst.

### The Data Science Handbook

Books / Free eBooks / physical books or multiple formatsThe Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice.

### The Art of Data Science

Books / Free eBooksThis book describes, simply and in general terms, the process of analyzing data.

### Advanced R

Books / Free eBooks / physical books or multiple formatsThe book is designed primarily for R users who want to improve their programming skills and understanding of the language.

### R Programming for Data Science

Books / Free eBooksThis book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.

### An Introduction to Statistical Learning: with Applications in R

Books / Free eBooks / physical books or multiple formatsProvides an accessible overview of the field of statistical learning… This book presents some of the most important modeling and prediction techniques, along with relevant applications.

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