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A private manuscript review workspace for authors and trusted reviewers — with a public showcase once you're ready to publish.
Pick up where you left off — chapters, reviewer feedback, and version history.
Update your public page, destinations, and author bio.
The essential technical books on AI, chosen for depth and lasting relevance — not everything that fits, only what's actually worth your time.
Freely available technical books and texts on AI and machine learning.
The essential books on writing and designing software well — chosen for depth and lasting relevance, not everything that fits.
A private, structured workspace where authors share Markdown manuscripts with trusted reviewers — chapter by chapter — and collect feedback anchored directly to the exact sentence it's about, threaded and resolvable, right next to the text itself.

Machine Learning › ML Foundations
An Introduction to Statistical Learning
with Applications in R