Three amazing data science books to read in 2023 (if you didn’t manage in 2022)

…and you can get them for free if you want! ❤️

Aleksander Molak
5 min readFeb 4, 2022


Four amazing data science books to read in 2023 (if you won’t manage in 2022). Image by yours truly.


2022 was a truly amazing year for the machine learning community worldwide! Many long-awaited titles have been released, including new editions of all-time classics.

In this post I want to share with you three 2022 titles that I believe are especially worth reading (not only) this year.

At the end of each section, you’ll find a series of links related to each book, including a link to an e-book, hard copy, free copy and a code repository (if available).

Ready? Let’s dive in! 🌊

1. Probabilistic Machine Learning: An Introduction (2022 edition)

The title page and the cover of “Probabilistic Machine Learning: An Introduction” by Kevin Murphy (2022). Image by yours truly.

A new edition of a true classic from Kevin P. Murphy published by The MIT Press.

The brand new edition contains Python code (in the accompanying repository) and covers countless topics from basic probability to graph neural networks. And… all of the topics are presented from the…



Aleksander Molak

Researcher, Educator, Author, Advisor || Causality, NLP & Probabilistic Modeling || Learn more: