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003			DO-SdBDB
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008			190606s20172017ca a fr 001 0 eng
020			_a9781491962299
041			_aeng
043			_an-us-ca
050			_aQ 325 .5 _b.G47 2017
100			_aGéron, Aurélien.
245			_aHands-on machine learning with scikit-learn and TensorFlow : _bconcepts, tools and techniques to build intelligent systems / _cAurélien Géron ; editor Nicole Tache ; interior designer David Futato ; cover designer Randy Comer ; illustrator Rebeca Demarest.
250			_aFirst editions.
260			_aBeijing ; _aBoston : _bO'Reilly Media, _c2017.
300			_axx, 551 páginas : _bilustraciones, gráficas, tablas a blanco y negro ; _c23 cm.
500			_aMaterial de apoyo del Departamento de Sistemas y Tecnología.
505			_aPreface, xiii -- _tPart I. The fundamentals of machine learning -- _t1. The machine learning landscape, 3 -- _t2. End-to-end machine learning project, 33 -- _t3. Classification, 81 -- _t4. Training models, 107 -- _t5. Support vector machines, 147 -- _t6. Decision trees, 169 -- _t7. Ensemble learning and Random Forests, 183 -- _t8. Dimensionality reduction, 207 -- _tPart II. Neural networks and deep learning, 231 -- _t10. Introduction to artificial neural networks, 257 -- _t11. Training deep neural nets, 279 -- _t12. Distributing TensorFklow across devices and servers, 319 -- _t13. Convolutional neural networks, 361 -- _t14. Recurrent neural networks, 387 -- _t15. Autoencoders, 421 -- _t16. Reinforcement learning, 447 -- _tA. Exercise solutions, 481 -- _tB. Machine learning project checklist, 507 -- _tC. SVM Dual problem, 513 -- _tD. Autodiff, 517 -- _tE. Other popular ann architectures, 525 -- _tIndex, 535.
650			_aInteligencia artificial.
700			_aTache, Nicole., _eeditor.
700			_aFutato, David., _einterior designer.
700			_aComer, Randy., _ecover designer.
700			_aDemarest, Rebecca, _eillustrator.
942			_cCG
999			_c56215 _d56215