Free ML systems books from Harvard's Vijay Janapa Reddi and a free LLM foundations textbook
caglar_ee · x · 2026-10-11
A roundup of three freely available machine learning textbooks:
- Introduction to Machine Learning Systems (Vijay Janapa Reddi, Harvard / MIT Press 2026): a two-volume series — Volume I covers single-machine ML systems (data, algorithms, machines); Volume II covers scale (distributed training, fleet operations, responsible deployment). Four parts: foundations, build, optimize, deploy, with emphasis on engineering trade-offs and quantitative analysis. Ships with TinyTorch, Hardware Kits, MLSys·im, labs, and a free PDF.
- Machine Learning Systems at Scale: the companion scale-focused volume.
- Foundations of Large Language Models (Tong Xiao, Jingbo Zhu): an open LLM foundations textbook.
Great starting points for engineers who want to systematically learn ML systems and LLM fundamentals.
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