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Condition: New
Format: Paperback and hardcover
Publishers: O'Reilly Media, MIT Press
Three books spanning applied AI engineering, practical machine learning and the algorithmic foundations underneath both. The set includes Chip Huyen's AI Engineering: Building Applications with Foundation Models; Aurelien Geron's Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, third edition; and Introduction to Algorithms, fourth edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein.
AI Engineering addresses building production applications on top of foundation models, including evaluation, prompt and context design, finetuning, and system architecture. Hands-On Machine Learning is the project-driven course through classical machine learning and deep learning with working code. Introduction to Algorithms is the standard reference for algorithm design and analysis, from sorting and data structures through graph algorithms and complexity.
For software engineers moving into machine learning work, data scientists, and computer science students who want both the applied and the theoretical side on one shelf.
Included ISBNs:
AI Engineering ISBN-13: 9781098166304
Hands-On Machine Learning, 3rd Edition ISBN-13: 9781098125974
Introduction to Algorithms, 4th Edition ISBN-13: 9780262046305
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