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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 | #40,324 in Books ( See Top 100 in Books ) #248 in Computer Science #4,352 in Higher & Continuing Education Textbooks |
| Customer reviews | 4.4 4.4 out of 5 stars (221) |
| Dimensions | 21.26 x 3.25 x 23.5 cm |
| Edition | Standard Edition |
| ISBN-10 | 0262046822 |
| ISBN-13 | 978-0262046824 |
| Item weight | 1.5 Kilograms |
| Language | English |
| Print length | 944 pages |
| Publication date | 1 March 2022 |
| Publisher | MIT Press |
A**L
El libro llegó en buenas condiciones, está muy bien explicado y ahonda en la teoría
E**R
Excelente livro, volume II (Avançado) junto com volume I.
S**C
Great book for the subject matter.
L**Y
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
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