Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update license notes for two books under Machine Learning section - resolves 11355 partially #11467

Closed
wants to merge 1 commit into from
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions books/free-programming-books-subjects.md
Original file line number Diff line number Diff line change
Expand Up @@ -439,11 +439,11 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF)
* [Probabilistic Models in the Study of Language](https://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
* [Python Machine Learning Projects](https://www.digitalocean.com/community/books/python-machine-learning-projects-a-digitalocean-ebook) - Lisa Tagliaferri, Brian Boucheron, Michelle Morales, Ellie Birkbeck, Alvin Wan (PDF, EPUB, Kindle)
* [Reinforcement Learning: An Introduction](http://incompleteideas.net/book/RLbook2020.pdf) - Richard S. Sutton, Andrew G. Barto (PDF)
* [Reinforcement Learning: An Introduction](http://incompleteideas.net/book/RLbook2020.pdf) - Richard S. Sutton, Andrew G. Barto (PDF) (CC BY-NC-ND)
* [Speech and Language Processing (3rd Edition Draft)](https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf) - Daniel Jurafsky, James H. Martin (PDF)
* [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [The LION Way: Machine Learning plus Intelligent Optimization](https://intelligent-optimization.org/LIONbook/lionbook_3v0.pdf) - Roberto Battiti, Mauro Brunato (PDF)
* [The Little Book of Deep Learning](https://fleuret.org/public/lbdl.pdf) - François Fleuret (PDF)
* [The Little Book of Deep Learning](https://fleuret.org/public/lbdl.pdf) - François Fleuret (PDF) (CC BY-NC-SA)
* [The Mathematical Engineering of Deep Learning](https://deeplearningmath.org) - Benoit Liquet, Sarat Moka, Yoni Nazarathy
* [The Mechanics of Machine Learning](https://mlbook.explained.ai) - Terence Parr, Jeremy Howard
* [The Python Game Book](https://web.archive.org/web/20210308080726/https://thepythongamebook.com/en%3Astart) - Horst Jens *(:card_file_box: archived)*
Expand Down
Loading