Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (Record no. 59753)

MARC details
000 -LEADER
fixed length control field 01816nam a2200193 a 4500
001 - CONTROL NUMBER
control field 59753
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260219124030.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781492032649
040 ## - CATALOGING SOURCE
Original cataloging agency AIS
Modifying agency AIS
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aurélien Géron
245 ## - TITLE STATEMENT
Title Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sebastopol, CA
Name of publisher, distributor, etc. O'Reilly Media, Incorporated
Date of publication, distribution, etc. 2019
520 ## - SUMMARY, ETC.
Summary, etc. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Computer Science
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Nonfiction
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Science
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification       MDIS Tashkent Learning Resource Center MDIS Tashkent Learning Resource Center   31.03.2022   006.31 TKB032862 19.02.2026 1 19.02.2026 Books
    Dewey Decimal Classification       MDIS Tashkent Learning Resource Center MDIS Tashkent Learning Resource Center   31.03.2022   006.31 TKB032863 19.02.2026 2 19.02.2026 Books
    Dewey Decimal Classification       MDIS Tashkent Learning Resource Center MDIS Tashkent Learning Resource Center   31.03.2022   006.31 TKB032864 19.02.2026 3 19.02.2026 Books