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Model-Based Machine Learning/ (Record no. 13588)

MARC details
000 -LEADER
fixed length control field 02636nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-NcFUE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251204112654.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251204b ua|||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498756815
040 ## - CATALOGING SOURCE
Language of cataloging eng
043 ## - GEOGRAPHIC AREA CODE
Geographic area code ua
082 #4 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.31 WJM
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Winn, John Michael.
9 (RLIN) 34190
245 1# - TITLE STATEMENT
Title Model-Based Machine Learning/
Statement of responsibility, etc John Michael Winn, Christopher M. Bishop, Thomas Diethe, John Guiver, Yordan Zaykov.
250 ## - EDITION STATEMENT
Edition statement 1st Edition
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton:
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc ©2024.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
500 ## - GENERAL NOTE
General note Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system.<br/><br/>The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem.<br/><br/>Features:<br/><br/>Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems.<br/>Explains machine learning concepts as they arise in real-world case studies.<br/>Shows how to diagnose, understand and address problems with machine learning systems.<br/>Full source code available, allowing models and results to be reproduced and explored.<br/>Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.
500 ## - GENERAL NOTE
General note John Winn is a Principal Researcher at Microsoft Research, UK.<br/><br/><br/>
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
9 (RLIN) 33122
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Form subdivision Artificial intelligence
General subdivision Computer science
9 (RLIN) 34195
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bishop, Christopher M.
9 (RLIN) 34191
Relator term Joint Author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Diethe, Thomas.
9 (RLIN) 34192
Relator term Joint Author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Guiver, John.
9 (RLIN) 34193
Relator term Joint Author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaykov, Yordan.
9 (RLIN) 34194
Relator term Joint Author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Acquisition method Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Dewey Decimal Classification     Faculty of Engineering & Technology (General) Main library Main library 04/12/2025 Al Ahram Purchase   006.31 WJM 00017899 04/12/2025 C.1 04/12/2025 Books