Probabilistic Machine Learning: An Introduction - Kevin P. Murphy
-35% su kodu BOOKS
Pristatymas per 31-37 d.d.
30 dienų grąžinimo politika
"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes ... Visas aprašymas
Jums taip pat gali patikti
Aprašymas
"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"--
Daugiau informacijos
| Autorius | Kevin P. Murphy |
|---|---|
| Leidėjas | MIT Press Ltd |
| Išleidimo metai | 2022 |
| Viršelio tipas | Kieti viršeliai |
| EAN | 9780262046824 |