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Curso: Carácter: Bibliografía validada el: 20/06/2024 |
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BB | Deisenroth, Marc Peter. Mathematics for machine learning / Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong. Cambridge ; New York, NY : Cambridge University Press, 2020.
@libro - Disponible en formato electrónico [Obs. docente: https://mml-book.github.io/] |
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BB | Goodfellow, Ian. Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville . Cambridge, Massachusetts : The MIT Press, cop. 2016 |
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BB | MURPHY, K. P. Probabilistic machine learning : an introduction. [s. l.]: The MIT Press, 2022. ISBN 9780262046824. |
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BB | Murphy, Kevin P. Machine learning : a probabilistic perspective / Kevin P. Murphy . Cambridge [etc.] : The MIT Press, cop. 2012
@libro - Disponible en formato electrónico [Obs. docente: https://www.cs.ubc.ca/~murphyk/MLbook/] |
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BB | Sutton, Richard S.. Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto . 2nd ed. Cambridge [etc.] : The MIT Press, cop. 2018 |
| Marco Murria, Julio | |
| Martínez Cantín, Rubén |
