Advanced Data Analysis from an Elementary Point of View

This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability…

Cosma Rohilla Shalizi
Feb 8, 2025

An Introduction to Statistical Learning

Statistical learning has become a critical toolkit for anyone who wishes to understand data. This book provides a broad and less technical treatment of key topics in…

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Jul 5, 2023

Critical Data Studies

This book provides a glossary for the field, consisting of 413 entries about key terms. Each entry sets out a definition, a descriptive overview, and further reading. The…

Rob Kitchin
Jan 6, 2025

Ethics of Artificial Intelligence

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical…

Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
Jan 1, 2023

Fairness and Machine Learning

Many take the leap of faith behind statistical decision making for granted to an extent that it’s become difficult to question. In this book, we take machine learning as a…

Solon Barocas, Moritz Hardt,, Arvind Narayanan
Jan 1, 2023

Forecasting Principles & Practice

This textbook is provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to be able to use them sensibly.

Rob J Hyndman, George Athanasopoulos
May 31, 2021

Fundamentals of Data Visualization

The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional.

Claus O. Wilke
Aug 20, 2020

Interpretable Machine Learning

This book is about making machine learning models and their decisions interpretable. It will enable you to select and correctly apply the interpretation method that is most…

Christoph Molnar
Mar 4, 2022

Mathematics For Machine Learning

This book aims to motivate people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of…

Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Jan 15, 2024

Python of Data Analysis, Third Edition

This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.

Wes McKinney
Apr 12, 2023

R for Data Science, Second Edition

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.

Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemenund
Nov 30, 2023

The Turing Way

An open source, open collaboration, community-driven handbook to reproducible, ethical and collaborative data science.

The Turing Way Community
Jul 22, 2022

Understanding Deep Learning

This book explains the ideas that underlie deep learning, distinguishing it from volumes that cover coding and other practical aspects. More resources can be found on <a…

Simon Prince
Oct 23, 2023
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