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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (Record no. 34487)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098135720
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Author Mark GAL-M
100 ## - MAIN ENTRY--AUTHOR
Author Name Gallatin, Kyle
245 ## - TITLE STATEMENT
Title Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
250 ## - EDITION STATEMENT
Edition statement 2nd Ed;
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication Sebastopol, CA.
Name of publisher, distributor, etc. O'Reilly Media
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Pages 398p.
500 ## - GENERAL NOTE
General note This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks.<br/><br/>Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context.<br/><br/>Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Include Index.
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Withdrawn status Not for loan Collection code Permanent Location Current Location Shelving Location Date acquired Source of acquisition Price Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Kharian Campus Library Air University Kharian Campus Library Cyber Security 02/17/2025 Ali Book Service 2014.00 006.31 GAL-M AUKHP0406 03/04/2025 Book
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