TY  - BOOK
AU  - Géron, Aurélien.
AU  - Tache, Nicole.,
AU  - Futato, David.,
AU  - Comer, Randy.,
AU  - Demarest, Rebecca,
TI  - Hands-on machine learning with scikit-learn and TensorFlow: concepts, tools and techniques to build intelligent systems 
SN  - 9781491962299
AV  - Q 325 .5 .G47 2017
PY  - 2017///
CY  - Beijing, Boston
PB  - O'Reilly Media
KW  - Inteligencia artificial
N1  - Material de apoyo del Departamento de Sistemas y Tecnología; Preface, xiii --; Part I. The fundamentals of machine learning --; 1. The machine learning landscape, 3 --; 2. End-to-end machine learning project, 33 --; 3. Classification, 81 --; 4. Training models, 107 --; 5. Support vector machines, 147 --; 6. Decision trees, 169 --; 7. Ensemble learning and Random Forests, 183 --; 8. Dimensionality reduction, 207 --; Part II. Neural networks and deep learning, 231 --; 10. Introduction to artificial neural networks, 257 --; 11. Training deep neural nets, 279 --; 12. Distributing TensorFklow across devices and servers, 319 --; 13. Convolutional neural networks, 361 --; 14. Recurrent neural networks, 387 --; 15. Autoencoders, 421 --; 16. Reinforcement learning, 447 --; A. Exercise solutions, 481 --; B. Machine learning project checklist, 507 --; C. SVM Dual problem, 513 --; D. Autodiff, 517 --; E. Other popular ann architectures, 525 --; Index, 535
ER  -