Harvard's free ML Systems textbook (CS249r) hits 29.8K GitHub stars
techNmak · x · 2026-11-04
Harvard professor Vijay Janapa Reddi's Machine Learning Systems textbook series (CS249r, MIT Press) is fully open-access, with the GitHub repo at 29.8K stars.
Six core areas covered:
- ML architecture & data pipelines
- Model training & optimization
- GPUs, memory & inference
- Distributed systems & production
- MLOps & evaluation
- Edge AI, privacy & security
Companion resources:
- 20 modules building an ML framework from scratch
- TinyTorch, interactive labs, hardware kits
- 9,199 ML systems interview questions
Planned as four volumes: Vol. I Introduction released, Vol. II Scaling in preview, Vol. III Agentic and Vol. IV Physical AI in preparation. Positioning: a free, rigorous alternative to $2,000 bootcamps.
More from Companies & People
- Founder of 50-person, 12-country team says he talks to AI agents more than humans — Scobleizer · 2026-11-04
- Sam Altman teases next goal: 'closer to this milestone than I expected' — ChrisGPT · 2026-11-04
- AI industry bet on both parties: $55M+ spent this election cycle via dual PACs — ChrisGPT · 2026-11-04
- Visiting Databricks APAC HQ: hands-on with CLI to explore enterprise agent use — FuSheng_0306 · 2026-11-04
- Scoble: SF AI events are the best outside China; 30+ events listed for Nov 3–12 — Scobleizer · 2026-11-04
- AI course wraps up with student projects spanning training, agents and oversight evals — EchoShao8899 · 2026-11-04