000			02230nam a22002537a 4500
005			20260911111806.0
008			260911s2023 |||||||| |||| 00| 0 eng d
020			_a9781098125974
040			_cPK-LaUMT
082			_aT 006.31 _bGER-H
100	1		_aGeron, Aurelien _915484
245	1	0	_aHands-on machine learning with Scikit-Learn, Keras and TensorFlow : _bconcepts, tools, and techniques to build intelligent systems / _cAurélien Géron
250			_a3rd ed.
260			_aSebatopol : _bO'Reilly Media, Inc., _c2023
300			_axxv, 834 p.
500			_aIndex present
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" --Back cover
546			_aEng
650			_aArtificial intelligence
650			_aPython (Computer program language) _93584
650			_aMachine learning
650			_aTensorFlow _915485
942			_cBK
999			_c142504 _d142504