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📘 Unlock the future of AI with MIT’s definitive guide!
MIT Press Probabilistic Machine Learning by Kevin P. Murphy is a 3.4-pound comprehensive textbook ranked #246 in Computer Science, offering advanced, rigorously explained probabilistic models. Highly rated (4.4/5) and ideal for professionals and students seeking cutting-edge machine learning theory.
| Best Sellers Rank | #40,325 in Books ( See Top 100 in Books ) #246 in Computer Science #4,332 in Higher & Continuing Education Textbooks |
| Customer Reviews | 4.4 out of 5 stars 221 Reviews |
A**L
Excelente libro!
El libro llegó en buenas condiciones, está muy bien explicado y ahonda en la teoría
E**R
O livro mais moderno e atual que conheço.
Excelente livro, volume II (Avançado) junto com volume I.
S**C
Great book
Great book for the subject matter.
L**Y
Great book, but I received a damaged copy
This great book definitely worth a 5-star rating. I minus two stars, since it is badly protected in shipping and I received a damaged copy.
J**E
One of the few best ML book in world, must have
Amazon packaged and shipped this heavy book in great care, therefore I received it in brand new condition. No damage. The book itself is a master piece from a well known expert from Deepmind. I am reading the book topic by topic rather than from the beginning to the end. It’s an excellent complement to Hands-on ML with Scikit Learn, keras & tensorflow and Deep Learning with Python. This book focuses on math and theory, but it’s written in easy to understand way. We have to appreciate the fact the author Kevin Murphy was a professor for many years. Highly recommended
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