![Screenshot of mathcs.holycross.edu: Calculus for Mathematicians, Computer Scientists, and Physicists [pdf]](https://hn.urlbox.com/shots/renders/2025/11/23/e229c1d5-fc4e-4c18-b5f1-458787f9acf1.jpg)
332 points by o4c | 70 comments
A free PDF textbook by Andrew D. Hwang, 'Calculus for Mathematicians, Computer Scientists, and Physicists: An Introduction to Abstract Mathematics'.
407 points by Anon84 | 51 comments
Link to the free online copy of the textbook Understanding Machine Learning: From Theory to Algorithms; the page loaded as a security-block error.
412 points by Anon84 | 132 comments
arXiv listing for a book by Jentzen, Kuckuck, and von Wurstemberger giving a mathematically rigorous introduction to deep learning methods, implementations, and theory.
347 points by georgehill | 79 comments
Homepage for Simon J.D. Prince's book Understanding Deep Learning (MIT Press, 2023), offering a free draft PDF of chapters 1-21 under a CC license.
![Screenshot of cses.fi: Competitive Programmer's Handbook (2018) [pdf]](https://hn.urlbox.com/shots/renders/2026/10/5/69c71102-f7bf-42e0-9682-6868f4f24f49.jpg)
302 points by vinhnx | 79 comments
PDF of the Competitive Programmer's Handbook by Antti Laaksonen (July 2018 draft), a free book on algorithms for programming contests.
![Screenshot of teorth.github.io: Terence Tao: Math 2.0 [pdf]](https://hn.urlbox.com/shots/renders/2026/10/11/5fa8cc24-3e1c-4321-8c9a-8aee16c4af72.jpg)
533 points by Anon84 | 530 comments
PDF slide deck titled "Math 2.0" by mathematician Terence Tao, dated October 2026, apparently from a Caltech talk.