Foundations of Machine Learning (Record no. 1432900)

MARC details
000 -LEADER
fixed length control field 01811cam a2200265 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250630165030.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180514s2018 maua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262039406
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) Q8
Assigning agency CSL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mohri, Mehryar
Relator term author.
9 (RLIN) 751616
245 10 - TITLE STATEMENT
Title Foundations of Machine Learning
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge :
Name of publisher, distributor, etc. The MIT Press,
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 486p.
Other physical details : col. ill.
Dimensions ; 24 cm.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.<br/><br/>This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Reinforcement learning.
9 (RLIN) 733538
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Kernel methods.
9 (RLIN) 814504
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Online learning.
9 (RLIN) 814505
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rostamizadeh, Afshin
Relator term co-author.
9 (RLIN) 751617
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Talwalkar, Ameet
Relator term co-author.
9 (RLIN) 751618
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textual
Edition 2nd ed.
Classification part D65,8(B):(S:72) Q8
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 2024-10-28 Segment Book Distributors 1 D65,8(B):(S:72) Q8 SL1655984 2026-03-20 2026-03-13 2026-03-13 2025-06-25 Textbook
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