Patterns, predictions, and actions: Foundations of machine learning (Record no. 1308623)

MARC details
000 -LEADER
fixed length control field 02060nam a2200229 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250411165126.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250409b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691233734
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Classification number D6,9(B) R2
Assigning agency RTL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hardt, Moritz
9 (RLIN) 752054
245 ## - TITLE STATEMENT
Title Patterns, predictions, and actions: Foundations of machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Princeton
Name of publisher, distributor, etc. Princeton University Press
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 298 p. : ill.
Other physical details Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc. An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impactsPatterns, Predictions, and actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. The text: provides a modern introduction to machine learning, showing how patterns in data support predictions and consequential actions, pays special attention to societal impacts and fairness in decision making, and traces the development of machine learning from its origins to today. Also features a novel chapter on machine learning benchmarks and datasets and invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra. An essential textbook for students and a guide for researchers.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Science
9 (RLIN) 725373
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability & Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Recht, Benjamin
Relator term Co-author
9 (RLIN) 752055
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textbook
Classification part D6,9(B) R2
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-04-09   D6,9(B) R2 RT1528425 2025-04-09 2025-04-09 Textbook
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