Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow : (Record no. 2714)
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| 000 -LEADER | |
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| fixed length control field | 04848nam a2200565 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1347020175 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EBZ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260709112158.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221009t20232023caua ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781098122478 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 109812247X |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781098122461 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1098122461 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1098125975 |
| Qualifying information | (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781098125974 |
| Qualifying information | (paperback) |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781098125967 |
| Source of stock number/acquisition | O'Reilly Media |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 8FF24866-5EDE-47E6-A85A-3C8376264084 |
| Source of stock number/acquisition | OverDrive, Inc. |
| Note | http://www.overdrive.com |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EBZ |
| Language of cataloging | eng |
| Transcribing agency | EBZ |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.73.P98 |
| Item number | G45 2023eb |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Edition information | 23/eng/20221011 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Géron, Aurélien, |
| Relator term | author. |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCjB9FgDVqV7Xf8QMYKMdHy |
| -- | https://isni.org/isni/0000000418957775 |
| 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. | Aurélien Géron. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Third edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Sebastopol, CA : |
| Name of producer, publisher, distributor, manufacturer | O'Reilly Media, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice | [2023] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xxv, 834 pages) : |
| Other physical details | illustrations (chiefly color) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Content type code | sti |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 341 0# - ACCESSIBILITY CONTENT | |
| Content access mode | textual |
| Source | sapdv |
| Materials specified | EBSCOhost |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction ; Unsupervised learning techniques -- Neural networks and deep learning. Introduction to artificial neural networks with Keras ; Training deep neural networks ; Custom models and training with TensorFlow ; Loading and preprocessing data with TensorFlow ; Deep computer vision using convolutional neural networks ; Processing sequences using RNNs and CNNs ; Natural language processing with RNNs and attention ; Autoencoders, GANs, and diffusion models ; Reinforcement learning ; Training and deploying TensorFlow models at scale. |
| 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."-- |
| Assigning source | Provided by publisher. |
| 532 #0 - ACCESSIBILITY NOTE | |
| Materials specified | EBSCOhost |
| Summary of accessibility | "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based print version record and online resource (ProQuest Ebook Central, viewed September 26, 2024). |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | WorldCat record variable field(s) change: 050 |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | TensorFlow. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | artificial intelligence. |
| Source of heading or term | aat |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 1098125975 |
| -- | 9781098125974 |
| Record control number | (DLC) 2023549175 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3406174">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3406174</a> |
| Link text | CLICK HERE to access ebook |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Electronic Book |
No items available.