Foundations of Machine Learning (Record no. 61408)

MARC details
000 -LEADER
fixed length control field 02337nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240402112413.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240130b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262039406
028 ## - DISTRIBUTOR NAME
Distributor Name : Raghav Books
Distributor address : A-184, A, Nand Gram, Ghaziabad, UP.
Bill Number : 4838
Bill Date : 20/01/2024
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 MOH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mohri, Mehryar.
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name ; Rostamizadeh, Afshin.
245 ## - TITLE STATEMENT
Title Foundations of Machine Learning
250 ## - EDITION STATEMENT
Edition statement : 2nd.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc , London
Name of publisher, distributor, etc : MIT Press
Date of publication, distribution, etc , 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xii,486p.
Dimensions : 28cm.
365 ## - TRADE PRICE
Price amount 5153
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/>Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.<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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Support Vector Machines
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element VC-dimension
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mehryar Mohri
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
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 Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Date checked out Total Renewals
    Dewey Decimal Classification   Not For Loan SNU LIBRARY SNU LIBRARY 30/01/2024 Raghav Books 5153.00   006.31 MOH 29987 30/01/2024 30/01/2024 Books    
    Dewey Decimal Classification     SNU LIBRARY SNU LIBRARY 30/01/2024 Raghav Books 5153.00 2 006.31 MOH 29988 06/03/2025 30/01/2024 Books 11/05/2024  
    Dewey Decimal Classification     SNU LIBRARY SNU LIBRARY 30/01/2024 Raghav Books 5153.00 2 006.31 MOH 29989 12/10/2025 30/01/2024 Books 20/09/2025 1

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