Learning theory from first principles (Record no. 1466201)

MARC details
000 -LEADER
fixed length control field 00900nam a2200181 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251211115406.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262049443
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Assigning agency RTL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bach, Francis
9 (RLIN) 855895
245 ## - TITLE STATEMENT
Title Learning theory from first principles
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Name of publisher, distributor, etc. The MIT Press
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 475 p.
Other physical details Includes bibliographical reference and index
520 ## - SUMMARY, ETC.
Summary, etc. Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents the foundations and latest advances of learning theory for graduate students as well as researchers who want to acquire a basic mathematical understanding of the most widely used machine learning architectures.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textual
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-12-11   RT1528568 2025-12-11 2025-12-11 Textual