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Theory and Practice of Quality Assurance for Machine Learning Systems (Record no. 64505)

MARC details
000 -LEADER
fixed length control field 04139nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-70008-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030113246.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241026s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031700088
-- 978-3-031-70008-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-70008-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.758
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMZ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM051230
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMZ
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ackerman, Samuel.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 86638
245 10 - TITLE STATEMENT
Title Theory and Practice of Quality Assurance for Machine Learning Systems
Medium [electronic resource] :
Remainder of title An Experiment-Driven Approach /
Statement of responsibility, etc. by Samuel Ackerman, Guy Barash, Eitan Farchi, Orna Raz, Onn Shehory.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 182 p. 129 illus., 99 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Scientific Analysis of ML Systems -- 3. Motivation and Best Practices for Machine Learning Designers and Testers -- 4. Unit Test vs. System Test of ML Based Systems -- 5. ML Testing -- 6. Principles of Drift Detection and ML Solution Retraining -- 7. Drift Detection by Measuring Distribution Differences -- 8. Sequential Drift Detection -- 9. Drift in Characterizations of Data -- 10. A Framework Analysis for Alternating Components and Drift -- 11. Optimal Integration of the ML Solution in the Business Decision Process -- 12. Testing Solutions Based on Large Language Models -- 13. A Detailed Chatbot Example.
520 ## - SUMMARY, ETC.
Summary, etc. This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life cycle. To this end, the book introduces an “experiment first” approach, stressing the need to define statistical experiments from the beginning of the development life cycle and presenting methods for careful quantification of business requirements and identification of key factors that impact business requirements. Applying these methods reduces the risk of failure of an ML development project and of the resultant, deployed ML system. The presentation is complemented by numerous best practices, case studies and practical as well as theoretical exercises and their solutions, designed to facilitate understanding of the ideas, concepts and methods introduced. The goal of this book is to empower scientists, engineers, and software developers with the knowledge and skills necessary to create robust and reliable ML software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 33953
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 33953
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Barash, Guy.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 86639
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farchi, Eitan.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 86640
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Raz, Orna.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 86641
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shehory, Onn.
Relator term author.
Authority record control number (orcid)0000-0001-9594-7819
-- https://orcid.org/0000-0001-9594-7819
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 86642
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031700071
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031700095
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-70008-8">https://doi.org/10.1007/978-3-031-70008-8</a>
912 ## -
-- ZDB-2-CWD
912 ## -
-- ZDB-2-SXPC

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