000 02519nam a2200313 i 4500
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020 _a9789355421982
_q(paperback)
040 _beng
_erda
082 _223
_a006.31
100 _aGeron, Aurelien,
_0http://id.loc.gov/authorities/names/nb2017008576
_eauthor
245 1 0 _aHands-on machine learning with Scikit-Learn, Keras and TensorFlow :
_bconcepts, tools, and techniques to build intelligent systems /
_cAurelien Geron
250 _aThird edition.
_bFull color edition
264 1 _aMumbai, India :
_bShroff / O'Reilly Media,
_c2022
264 4 _c©2022
300 _bxxiv, 834 pages ;
_ailustrations (color) :
_c23 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdacarrier
_avolume
_bnc
338 _2rdamedia
_aunmediated
_bn
490 _aO'Reilly
500 _aInclude index
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."--Provided by publisher.
630 _aTensorFlow
650 0 _aMachine learning
650 _aArtificial intelligence
650 _aPython (Computer program language)
942 _cBK
_2ddc
999 _c3435
_d3435