Books like Heuristics by Judea Pearl

Daniel Kahneman's "Thinking, Fast and Slow" explains how two distinct mental systems shape our judgments and decisions, offering insights into the biases that influence everyday choices.

A comprehensive, up‑to‑date introduction to the theory and practice of artificial intelligence.

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

A foundational guide to artificial intelligence, covering problem solving, knowledge representation, and the use of programming languages like Lisp and Prolog.

"Alan Turing, pioneer of computing and World War II code-breaker, was one of the most important and influential thinkers of the twentieth century. The astonishing output of his tragically short life included the universal Turing Machine (the theoretical foundation of all modern computing), the electro-mechanical 'bombes' used at Bletchley Park to decipher the Enigma code, his ground-breaking design for an electronic stored-programme computer, and work on artificial intelligence and artificial life so revolutionary that he can claim to be the founding father of these disciplines. In this book, Turing's key writings in all these subjects are made easily accessible for the first time. Lectures, scientific papers, top secret wartime material, correspondence, and broadcasts are introduced and set in context by Jack Copeland, Director of the Turing Archive for the History of Computing."--Jacket.

A practical guide to Bayesian methods in machine learning, tailored for undergraduates and graduate students with modest math backgrounds.