Amazon cover image
Image from Amazon.com
Image from Coce

Probabilistic Machine Learning

By: Material type: TextPublication details: London The MIT Press 2023Description: xxviii, 1319p. Includes index and bibliographyISBN:
  • 9780262048439
Subject(s): Other classification:
  • D6,9(B) R3
Summary: This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.
Item type: Textbook
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Textbook Ratan Tata Library Ratan Tata Library D6,9(B) R3 (Browse shelf(Opens below)) Available RT1528399

This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.

There are no comments on this title.

to post a comment.
Previous
Back to results
Next
Close
Copyright @ Delhi University Library System