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Designing machine learning systems : (Record no. 36008)

000 -LEADER
fixed length control field 01684cam a2200277 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field jomaaum
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250717115401.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr n
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230405t20222022caua ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098107963
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .H89 2022
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number H987
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Huyen, Chip.
9 (RLIN) 46727
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Designing machine learning systems :
Remainder of title an iterative process for production-ready applications /
Statement of responsibility, etc Chip Huyen.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Sebastopol, CA :
Name of publisher, distributor, etc O'Reilly Media, Inc.,
Date of publication, distribution, etc 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 367 p .
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
Topical term or geographic name as entry element Application software
9 (RLIN) 46728
Topical term or geographic name as entry element Data engineering
9 (RLIN) 46733
Topical term or geographic name as entry element System design.
9 (RLIN) 800
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Cost, normal purchase price Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Shelving location Current location Public note Full call number
2025-02-09AUM Main Library2025-07-17 2025-07-17 Book 33.00 بنك الكتب الطبية و الأكاديمية33.00 AUM-026387English Collections HallAUM Main Library202500085006.31 H987