"Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy is a comprehensive textbook on the subject of machine learning, focusing on the probabilistic approach. Published by MIT Press in 2012, this hardcover book covers topics such as algebra, linear models, probability and statistics, computer vision, and pattern recognition. With 1104 pages, this book is a valuable resource for students and professionals looking to deepen their understanding of machine learning through a probabilistic lens.
| ISBN | 9780262018029 |
| Subject Area | Mathematics, Computers |
| Publisher | MIT Press |
| Item Length | 9.2 in |
| Publication Year | 2012 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 1.8 in |
| Author | Kevin P. Murphy |
| Item Weight | 64.7 Oz |
| Item Width | 8.3 in |
| Number Of Pages | 1104 Pages |
«Machine Learning: A Probabilistic Perspective» by Kevin P. Murphy is a comprehensive textbook on the subject of machine learning, focusing on the probabilistic approach. Published by MIT Press in 2012, this hardcover book covers topics such as algebra, linear models, probability and statistics, computer vision, and pattern recognition. With 1104 pages, this book is a valuable resource for students and professionals looking to deepen their understanding of machine learning through a probabilistic lens.