| 000 -LEADER |
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| fixed length control field |
02584cam a22003497a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
1347020175 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
APU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240605144832.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240605s2022 cau o 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781098122478 (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
109812247X |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
1098125975 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781098125974 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1347020175 |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
9781098125967 |
| Source of stock number/acquisition |
O'Reilly Media |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
english |
| Transcribing agency |
YDX |
| Modifying agency |
SY |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.G476 2023 c.1 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3/1 |
| Edition number |
23/eng/20221011 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Geron, Aurelien, |
| Relator term |
author. |
| 9 (RLIN) |
46197 |
| 245 10 - 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 |
Aurelien Geron. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Third edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Sebastopol, California : |
| Name of publisher, distributor, etc |
O'Reilly Media, Inc., |
| Date of publication, distribution, etc |
©2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxv, 834 pages : |
| Other physical details |
illustrations (chiefly color) ; |
| Dimensions |
24 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Through a recent series of 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 bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aur©♭lien G©♭ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
TensorFlow |
| 9 (RLIN) |
46198 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
