ARCHBISHOP KAVUKATTU CENTRAL LIBRARY
ONLINE LIBRARY CATALOGUE (OPAC)

Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: (Record no. 40038)

MARC details
000 -LEADER
fixed length control field 02067nam a22002777a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241204145023.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355421982
040 ## - CATALOGING SOURCE
Transcribing agency AKCL
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number GER-H3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Geron, Aurelien
245 ## - TITLE STATEMENT
Title Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow:
Remainder of title Concepts, Tools and Techniques to Build Intelligent Systems /
Statement of responsibility, etc. by Aurelien Geron
250 ## - EDITION STATEMENT
Edition statement 3rd Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. California:
Name of publisher, distributor, etc. O'Reilly Media Inc.,
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent p. XXV,834
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.<br/><br/>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.<br/><br/>Explore the machine learning landscape, particularly neural nets<br/>Use Scikit-Learn to track an example machine-learning project end-to-end<br/>Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods<br/>Use the TensorFlow library to build and train neural nets<br/>Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning<br/>Learn techniques for training and scaling deep neural nets
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Intelligent Systems
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Koha item type Books
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     ARCHBISHOP KAVUKATTU CENTRAL LIBRARY ARCHBISHOP KAVUKATTU CENTRAL LIBRARY 11/26/2024 3250.00 1 006.31 GER-H3 69186 01/12/2026 01/12/2026 3250.00 11/26/2024 Books