Probabilistic machine learning : an introduction / Kevin P. Murphy.
Idioma: Inglés Series Adaptive computation and machine learning seriesEditor: Cambridge, Massachusetts : The MIT Press, 2022Descripción: xxix, 826 pages : illustrations (some color) ; 24 cmTipo de contenido:- texto
- no mediado
- volumen
- 9780262046824
- 006.31 M954p 23
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
---|---|---|---|---|---|---|---|---|---|
Recursos Electrónicos | Sede Quito | Col General | 006.31 M954p (Navegar estantería(Abre debajo)) | Disponible | Disponible en Biblioteca Digital PUCE | ||||
Libro | Sede Quito Primer piso | Col General | 006.31 M954p (Navegar estantería(Abre debajo)) | Disponible | PUCE212265 |
Total de reservas: 0
Includes bibliographical references and index.
"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"--
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