Must‑Read AI Books Recommended by Alibaba Experts

When learning a new technology, many start with official documentation, video tutorials, and demo code, but reading timeless books provides deeper insight into principles, implementations, and design philosophies.

Recommended Book: Pattern Recognition and Machine Learning

Recommender: 永叔 (Senior Algorithm Expert)

Reason: This book served as the author’s introductory textbook to machine learning; authored by Christopher M. Bishop, a Microsoft Technical Fellow, it presents a Bayesian framework covering major ML topics, includes abundant resources such as exercise solutions, code implementations, and even course materials from top U.S. universities.

Recommended Book: Convex Optimization

Recommender: 永叔 (Senior Algorithm Expert)

Reason: Many machine‑learning problems reduce to optimization. The author Boyd, a co‑creator of the BFGS algorithm, writes a practitioner‑focused book that guides readers from problem definition to solution, enabling implementation of algorithms in MATLAB or Python after each chapter.

Recommended Book: Deep Learning Fundamentals: An Introduction for Beginners

Recommender: 秋岷 (Senior Data‑Technology Expert)

Reason: The book is well suited for beginners, explaining basic concepts and mathematics clearly, and provides step‑by‑step examples for building one’s own deep‑learning models.

Recommended Book: Optimization in Operations Research

Recommender: 秋岷 (Senior Data‑Technology Expert)

Reason: Although not directly about machine learning, the book covers optimization theory that underlies many statistical‑learning methods; its clear explanations make it a suitable textbook for beginners.

Recommended Book: Artificial Intelligence: A Modern Approach

Recommender: 瑞溪 (Senior Algorithm Expert)

Reason: This comprehensive textbook covers all AI sub‑fields with depth and logical rigor, making it suitable both as a course textbook and as an encyclopedic reference.

Recommended Book: Deep Learning in Natural Language Processing

Recommender: 于恒 (Algorithm Expert)

Reason: Targeted at readers with some foundation, this book—co‑authored by speech‑recognition pioneer Deng Li and NLP expert Liu Yang—systematically presents deep‑learning applications in NLP, discusses the latest research, and explores future directions such as neural‑symbolic integration and memory‑based models.

Recommended Book: 机器学习 (Machine Learning) – “西瓜书”

Recommender: 染冉 (Algorithm Expert)

Reason: Authored by China’s top machine‑learning scholar Zhou Zhihua, the book—affectionately called the “Watermelon Book” for its abundant watermelon examples—covers fundamentals, common algorithms, and advanced topics, making it suitable for learners at various stages and especially for Chinese readers.