Foundations of Machine Learning, second edition (Adaptive Computation and Ma...
"Foundations of Machine Learning, second edition" is a comprehensive textbook on the subject of machine learning, specifically focusing on adaptive computation and algorithms. Published by MIT Press in 2018, this hardcover book spans 504 pages and is part of the Adaptive Computation and Machine Learning series. Authored by Afshin Rostamizadeh, Mehryar Mohri, and Ameet Talwalkar, this textbook delves into the complexities of programming and intelligence, making it a valuable resource for students and professionals in the field of computer science. With its detailed explanations and insights, this book is a must-have for those looking to deepen their understanding of machine learning techniques.
Specifications
| Release Year | 2018 |
| ISBN | 9780262039406 |
| Subject Area | Computers |
| Publisher | MIT Press |
| Item Length | 9.3 in |
| Publication Year | 2018 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 1.2 in |
| Item Weight | 43.5 Oz |
| Item Width | 7.2 in |
| Number Of Pages | 504 Pages |
What stands out about this textbook is the inclusion of historical context.