Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : (Record no. 3435)
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| fixed length control field | 02519nam a2200313 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260401120707.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230828s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789355421982 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Description conventions | rda |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 006.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Geron, Aurelien, |
| LC Authority URI | <a href="http://id.loc.gov/authorities/names/nb2017008576">http://id.loc.gov/authorities/names/nb2017008576</a> |
| Relator term | author |
| 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. |
| Remainder of edition statement | Full color edition |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Mumbai, India : |
| Name of producer, publisher, distributor, manufacturer | Shroff / O'Reilly Media, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Other physical details | xxiv, 834 pages ; |
| Extent | ilustrations (color) : |
| Dimensions | 23 cm. |
| 336 ## - Content type term (R) | |
| Source (NR) | rdacontent |
| Content type term (R) | text |
| Content type code (R) | txt |
| 337 ## - Media Type (R) | |
| Source (NR) | rdacarrier |
| Media type term (R) | volume |
| Media type code (R) | nc |
| 338 ## - Carrier Type (R) | |
| Source (NR) | rdamedia |
| Carrier type term (R) | unmediated |
| Carrier type code (R) | n |
| 490 ## - SERIES STATEMENT | |
| Series statement | O'Reilly |
| 500 ## - GENERAL NOTE | |
| General note | Include 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 Aurélien Géron 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."--Provided by publisher. |
| 630 ## - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | TensorFlow |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Source of classification or shelving scheme | Dewey Decimal Classification |
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| Sai University Library | Sai University Library | 2025-11-06 | 2925.00 | 2 | 006.31 GER | 002103 | 2026-01-20 | 2026-01-20 | 12 | 2025-11-06 | Books | Dewey Decimal Classification | SCDS | 2026-07-19 | General stacks | 3250.00 |