Machine learning : a probabilistic perspective /
"This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as...
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge, MA :
MIT Press,
c2012
Cambridge, Mass. : c2012 Cambridge, Mass. : [2012] |
| Series: | Adaptive computation and machine learning series
Adaptive computation and machine learning |
| Subjects: |
| Summary: | "This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover |
|---|---|
| Item Description: | This WorldCat-derived record is shareable under Open Data Commons ODC-BY, with attribution to OCLC |
| Physical Description: | xxix, 1067 p. : ill. (chiefly col.) ; 24 cm xxix, 1067 p. : ill. (some col.) ; 24 cm xxix, 1067 pages : illustrations (chiefly color) ; 24 cm |
| Bibliography: | Includes bibliographical references (p. [1015]-1045) and indexes Includes bibliographical references and index |
| ISBN: | 0262018020 (hardcover : alk. paper) 0262018020 9780262018029 (hardcover : alk. paper) 9780262018029 |