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008			221009t20232023caua ob 001 0 eng d
020			_a9781098122478 _q(electronic bk.)
020			_a109812247X _q(electronic bk.)
020			_a9781098122461 _q(electronic bk.)
020			_a1098122461 _q(electronic bk.)
020			_z1098125975 _q(paperback)
020			_z9781098125974 _q(paperback)
037			_a9781098125967 _bO'Reilly Media
037			_a8FF24866-5EDE-47E6-A85A-3C8376264084 _bOverDrive, Inc. _nhttp://www.overdrive.com
040			_aEBZ _beng _cEBZ
049			_aMAIN
050		4	_aQ325.5
050		4	_aQA76.73.P98 _bG45 2023eb
082	0	4	_a006.3/1 _223/eng/20221011
100	1		_aGéron, Aurélien, _eauthor. _1https://id.oclc.org/worldcat/entity/E39PCjB9FgDVqV7Xf8QMYKMdHy _1https://isni.org/isni/0000000418957775
245	1	0	_aHands-on Machine Learning with Scikit-Learn, Keras and TensorFlow : _bConcepts, tools, and techniques to build intelligent systems / _cAurélien Géron.
250			_aThird edition.
264		1	_aSebastopol, CA : _bO'Reilly Media, Inc., _c[2023]
264		4	_c©2023
300			_a1 online resource (xxv, 834 pages) : _billustrations (chiefly color)
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
341	0		_atextual _2sapdv _3EBSCOhost
504			_aIncludes bibliographical references and index.
505	0		_aThe 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			_a"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."-- _cProvided by publisher.
532		0	_3EBSCOhost _a"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			_aDescription based print version record and online resource (ProQuest Ebook Central, viewed September 26, 2024).
590			_aWorldCat record variable field(s) change: 050
630	0	0	_aTensorFlow.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		0	_aPython (Computer program language)
650		7	_aartificial intelligence. _2aat
776	0	8	_iPrint version: _z1098125975 _z9781098125974 _w(DLC) 2023549175
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3406174 _yCLICK HERE to access ebook
942			_2ddc _cEBOOK
999			_c2714 _d2714