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02274 a2200217 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20230707162834.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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230608b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781098125974 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-9355421982 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
ICTS-TIFR |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.73 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Aurélien Géron |
| 245 ## - TITLE STATEMENT |
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| Title |
Hands-on machine learning with scikit-learn, keras, and tensorflow: concepts, tools, and techniques to build intelligent systems |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
3rd Ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Name of publisher, distributor, etc. |
O'Reilly (Shroff publishers & distributors pvt.ltd.) |
| Date of publication, distribution, etc. |
c2022 |
| Place of publication, distribution, etc. |
Mumbai |
| 300 ## - Physical Description |
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| Pages: |
834 p. |
| 520 ## - SUMMARY, ETC. |
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| 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.<br/><br/>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.<br/><br/>--Use Scikit-learn to track an example ML project end to end<br/>--Explore several models, including support vector machines, decision trees, random forests, and ensemble methods<br/>--Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection<br/>--Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers<br/>--Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/?_gl=1*savjr7*_ga*MTY1OTgyODI2Mi4xNjgzMDE5MzU3*_ga_092EL089CH*MTY4NjIxNjUzMC4zLjAuMTY4NjIxNjUzNi41NC4wLjA.">https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/?_gl=1*savjr7*_ga*MTY1OTgyODI2Mi4xNjgzMDE5MzU3*_ga_092EL089CH*MTY4NjIxNjUzMC4zLjAuMTY4NjIxNjUzNi41NC4wLjA.</a> |
| Link text |
Table of Contents |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
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| Koha item type |
Book |
