000			02896nam a22003857a 4500
001			991014935821404990
003			ES-GrU
005			20260616102615.0
008			260616t2025 cc a frb 001 0 eng d
020			_a9781098125974 _q(paperback)
035			_a23792096
035			_a(OCoLC)1346503549
040			_aUKMGB _beng _erda _cUKMGB _dYDX _dOCLCF _dTOH _dVNVGU _dVP@ _dOCLCO _dKMS _dORZ _dCDX _dOCLCQ _dDLC _dclrauoh
082			_a006.31
100	1		_aGéron, Aurélien, _eauthor.
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.
260			_aBeijing : _bO'Reilly Media, _c2025
264		4	_c©2023
300			_axxv, 834 pages : _billustrations (chiefly color).
335			_aplan estático _2rdaep
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aThe 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 -- 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 best-selling 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 Aurelien Geron 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"
546			_aTexto en inglés.
630	0	0	_aTensorFlow.
650		7	_aPython (Lenguaje de programación) _2EMBNE
650		0	_aPython (Computer program language) _2EMBUS
650		0	_aMachine learning _2EMBUS
650		0	_aArtificial intelligence _2EMBUS
942			_2ddc _cBOOK _n0
999			_c7322 _d7322