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| Author(s) :- Sugiyama Masashi (University of Tokyo) | Format :- Paperback |
| Publisher :- Cambridge University Press | Pub. Date :- 2025-02-06 |
| ISBN-13 :- 9781107430761 | |
| Pagination :- 559 pages | |
| Dimensions :- 151 x 230 x 40 | |
| Weight :- 836 |
Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.