Probabilistic machine learning an introduction / Kevin P. Murphy.
| Author/creator | Murphy, Kevin P., 1970- author. |
| Format | Electronic |
| Publication | Cambridge, Massachusetts : The MIT Press, [2022] |
| Copyright Date | ©2022 |
| Description | 1 online resource (xxix, 826 pages) : illustrations (some color). |
| Supplemental Content | ProQuest Ebook Central |
| Subjects |
| Series | Adaptive computation and machine learning Adaptive computation and machine learning. ^A474767 |
| Contents | Introduction -- Probability: univariate models -- Probability: multivariate models -- Statistics -- Decision theory -- Information theory -- Linear algebra -- Optimization -- Linear discriminant analysis -- Logistic regression -- Linear regression -- Generalized linear models -- Neural networks for structured data -- Neural networks for images -- Neural networks for sequences -- Exemplar-based methods -- Kernel methods -- Trees, forests, bagging, and boosting -- Learning with fewer labeled examples -- Dimensionality reduction -- Clustering -- Recommender systems -- Graph embeddings. |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Source of description | Online resource; title from PDF title page (viewed February 14, 2022). |
| Issued in other form | Print version: Murphy, Kevin P., 1970- Probabilistic machine learning. Cambridge, Massachusetts : The MIT Press, [2022] 9780262046824 |
| ISBN | 0262369303 (electronic book) |
| ISBN | 9780262369305 (electronic book) |
| ISBN | 0262369311 (electronic bk.) |
| ISBN | 9780262369312 (electronic bk.) |
| ISBN | (hardcover) |
| ISBN | (hardcover) |
| Stock number | 14260 MIT Press |
| Stock number | 9780262369312 MIT Press |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |