Understanding machine learning : (Record no. 50051)

MARC details
000 -LEADER
fixed length control field 01580nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field IN-BdCUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240513102655.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230620b ii ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107512825
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency IN-BdCUP
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number SHA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Shalev-Shwartz, Shai
Relator term Author
245 ## - TITLE STATEMENT
Title Understanding machine learning :
Remainder of title from theory to algorithms /
Statement of responsibility, etc. Shai Shalev-Shwartz, and Shai Ben-David,
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2022 .
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 397 pages ;
Dimensions 26 cm.
Type of unit pb
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents:<br/>Introduction<br/>I. Foundations<br/>A gentle start<br/>A formal learning model<br/>Learning via uniform convergence<br/>The bias-complexity tradeoff<br/>The VC-dimension<br/>Nonuniform learnability<br/>The runtime of learning<br/>II. From Theory to Algorithms<br/>Linear predictors<br/>Boosting<br/>Model selection and validation<br/>Convex learning problems<br/>Regularization and stability<br/>Stochastic gradient descent<br/>Support vector machines<br/>Kernel methods<br/>Multiclass, ranking, and complex prediction problems<br/>Decision trees<br/>Nearest neighbor<br/>Neural networks<br/>III. Additional Learning Models<br/>Online learning<br/>Clustering<br/>Dimensionality reduction<br/>Generative models<br/>Feature selection and generation<br/>IV. Advanced Theory<br/>Rademacher complexities<br/>Covering numbers<br/>Proof of the fundamental theorem of learning theory<br/>Multiclass learnability<br/>Compression bounds<br/>PAC-Bayes
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithm
Topical term or geographic name entry element Boosting
Topical term or geographic name entry element Algebra
Topical term or geographic name entry element PAC-Bayes
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ben-David, Shai
Relator term Author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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 Order Number Cost, normal purchase price Bill number Total checkouts Full call number Barcode Date last seen Actual Cost, replacement price Bill Date Koha item type Collection
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 13/02/2023 Indu book services CUPB/LIB/2 836.50 IN-00290   006.31 SHA 046281 20/06/2023 1195.00 08/02/2023 Book  
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 10/01/2024 New India Book Agency 23-24/308 956.00 4828   006.31 SHA 048654 13/05/2024 1195.00 26/01/2024 Book Computer Science and Technology
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