Probabilistic Machine Learning (Record no. 1432992)

MARC details
000 -LEADER
fixed length control field 01544nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250626112852.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250626b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262048439
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number D65,8(B):(S:72) R3
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Murphy, Kevin P
Relator term author.
9 (RLIN) 814693
245 ## - TITLE STATEMENT
Title Probabilistic Machine Learning
Remainder of title : Advanced Topics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London :
Name of publisher, distributor, etc. MIT Press,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxxi,1319p.
Other physical details : col.ill.
Dimensions ; 23 cm.
500 ## - GENERAL NOTE
General note Includes bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Graphical models.
9 (RLIN) 734433
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Variational inference.
9 (RLIN) 814694
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Generative models.
9 (RLIN) 814695
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Causation.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textual
Classification part D65,8(B):(S:72) R3
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date due Date last seen Date last checked out Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-11-06 Shivam Book Service 1 D65,8(B):(S:72) SL1656051 2026-03-06 2026-02-20 2026-02-20 2025-06-26 Textual
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