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books: add Probabilistic Machine Learning Advanced Topics

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@ -472,6 +472,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Practical Deep Learning for Coders](https://course.fast.ai) - fast.ai
* [Practitioners guide to MLOps](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf) - Khalid Samala, Jarek Kazmierczak, Donna Schut (PDF)
* [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF)
* * [Probabilistic Machine Learning: Advanced Topics](https://probml.github.io/pml-book/book2.html) - Kevin P. Murphy (PDF)
* [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) (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)