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Update license notes for Little Book of Deep Learning and Reinforcement Learning: An Introduction books (#11468) 

Co-authored-by: Athira Kadampatta <akn@192.168.1.7>
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@ -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 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) * [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) * [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) * [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 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 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 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 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)* * [The Python Game Book](https://web.archive.org/web/20210308080726/https://thepythongamebook.com/en%3Astart) - Horst Jens *(:card_file_box: archived)*