Probabilistic machine learning /
Murphy, Kevin P., 1970-,
Probabilistic machine learning / - 2 volumes (various paging) : illustrations ; 24 cm. - Adaptive computation and machine learning series .
Includes bibliographical references and index.
An Introduction: I Introduction -- II Linear Models -- III Deep Neural Networks -- IV Nonparametric Models -- V Beyond Supervised Learning.
Advanced Topics: I Introduction -- II Inference -- III Prediction -- IV Generation -- V Discovery -- VI Action.
"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"--
9780262046824 9780262048439
Machine learning.
Probabilities.
006.31 / MUP
Probabilistic machine learning / - 2 volumes (various paging) : illustrations ; 24 cm. - Adaptive computation and machine learning series .
Includes bibliographical references and index.
An Introduction: I Introduction -- II Linear Models -- III Deep Neural Networks -- IV Nonparametric Models -- V Beyond Supervised Learning.
Advanced Topics: I Introduction -- II Inference -- III Prediction -- IV Generation -- V Discovery -- VI Action.
"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"--
9780262046824 9780262048439
Machine learning.
Probabilities.
006.31 / MUP