Bayes, AI, and Deep Learning: Foundations of Data Science (Chapman & Hall/CRC Texts in Statistical Science)

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty.This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework.Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook. Key Features:Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breakingBridges classical statistics and deep learning, connecting linear regression to transformersCovers the complete AI stack: probability, decision theory, Gaussian proce