Algorithmic mathematics in machine learning (Record no. 61574)

MARC details
000 -LEADER
fixed length control field 02040 a2200253 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781611977875
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 BOH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bohn, Bastian
245 ## - TITLE STATEMENT
Title Algorithmic mathematics in machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Philadelphia:
Name of publisher, distributor, etc Society for Industrial and Applied Mathematics (SIAM),
Date of publication, distribution, etc 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 225p.:
Other physical details col. ill.; pbk.:
Dimensions 26 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Data Science Book Series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc This unique book explores several well-known machine learning and data analysis algorithms from a mathematical and programming perspective. The authors present machine learning methods, review the underlying mathematics, and provide programming exercises to deepen the reader's understanding;<br/><br/>accompany application areas with exercises that explore the unique characteristics of real-world data sets (e.g., image data for pedestrian detection, biological cell data); and<br/><br/>provide new terminology and background information on mathematical concepts, as well as exercises, in “info-boxes” throughout the text.<br/><br/>Audience<br/><br/>Algorithmic Mathematics in Machine Learning is intended for mathematicians, computer scientists, and practitioners who have a basic mathematical background in analysis and linear algebra, but little or no knowledge of machine learning and related algorithms. Researchers in the natural sciences and engineers interested in acquiring the mathematics needed to apply the most popular machine learning algorithms will also find this book useful.<br/><br/>This book is appropriate for a practical lab or basic lecture course on machine learning within a mathematics curriculum.<br/><br/>https://epubs.siam.org/doi/10.1137/1.9781611977882<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science,
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural Networks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Reinforcement Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Garcke, Jochen
Relator term Co author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Griebel, Michael
Relator term Co author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Checked out Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 30/06/2025 CBS Publishers 5488.00 9 006.31 BOH 035940 23/01/2026 08/01/2026 08/01/2026 1 5488.00 Books


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