by MIT Press, is a comprehensive textbook designed for advanced undergraduates and graduate students. It bridges the gap between theoretical equations and computer programming, making it a foundational resource for understanding the mechanics of modern AI. Key Features of the 4th Edition
A deep dive into Support Vector Machines (SVMs) and kernel tricks. by MIT Press, is a comprehensive textbook designed
This edition features substantial updates to reflect the rapid evolution of the field since the previous release: This edition features substantial updates to reflect the
The 4th edition is structured to take a reader from a novice to an advanced practitioner: by MIT Press
Unlike many applied ML books, this one emphasizes ML as a branch of statistical inference. Chapters on maximum likelihood, Bayesian estimation, and model selection are excellent.
The textbook is noted for including topics often missing from other introductory texts: