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Python Crash Course (Record no. 33261)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781593276034
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Author Mark MAT-P
100 ## - MAIN ENTRY--AUTHOR
Author Name Matthes, Eric
245 ## - TITLE STATEMENT
Title Python Crash Course
250 ## - EDITION STATEMENT
Edition statement 2nd Ed
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication San Francisco
Name of publisher, distributor, etc. No Starch Press
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Pages xxxvi, 506 p
Dimensions 9.25 x 7.52 In
500 ## - GENERAL NOTE
General note Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.<br/><br/>After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications.<br/><br/>By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.<br/><br/>
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Included With Index
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject / Department Python, Computer program language, Object-oriented programming, Computer science
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Shelving Location Date acquired Source of acquisition Price Inventory number Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Multan Campus Library Air University Multan Campus Library Computer Science 06/03/2024 Ali Books Services 2542.00 0258 005.133 MAT-P P004886 09/24/2024 Book
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