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Practical Linear Algebra for Data Science : (Record no. 34947)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098120610
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Author Mark COH-P
100 ## - MAIN ENTRY--AUTHOR
Author Name Cohen, Mike X.
245 ## - TITLE STATEMENT
Title Practical Linear Algebra for Data Science :
Sub-Title From Core Concepts to Applications Using Python /
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication USA:
Name of publisher, distributor, etc. O'Reilly Media press,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Pages 326p
Dimensions 20.5cm x 27.5cm
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject / Department The purpose of this book is to teach you modern linear algebra. But this is not about memorizing some key equations and slugging through abstract proofs; the purpose is to teach you how to think about matrices, vectors, and operations acting upon them. You will develop a geometric intuition for why linear algebra is the way it is. And you will understand how to implement linear algebra concepts in Python code, with a focus on applications in machine learning and data science.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Multan Campus Library Air University Multan Campus Library 05/21/2025 Ali book service 005.74 COH-P P004952 05/21/2025 Book
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