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Curso: 4 Carácter: Optativo Bibliografía validada el: 17/06/2024 |
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BB | FERNÁNDEZ VILLÁN, A. Mastering OpenCV 4 with Python : a practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7. [s. l.]: Packt, 2019. ISBN 9781789344912. |
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BB | GERÓN, A. Hands-on machine learning with Scikit-Learn, Keras & TensorFlow : concepts, tools, and techniques to build intelligent systems. 3rd ed., 1st release. [s. l.]: O’Really Media, 2022. ISBN 9781098125974. |
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BB | GOODFELLOW, I.; BENGIO, Y.; COURVILLE, A. Deep learning. [s. l.]: The MIT Press, 2016. ISBN 9780262035613.
[Obs. docente: https://www.deeplearningbook.org/] |
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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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BC | Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006
[Obs. docente: disponible en https://www.microsoft.com/enus/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-MachineLearning-2006.pdf] |
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BC | Forsyth, David A.. Computer vision : a modern approach / David A. Forsyth, Jean Ponce . - 2nd ed. Upper Saddle River : Prentice Hall, 2012 |
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BC | González, Rafael C.. Digital image processing / Rafel C. González, Richard E. Woods. . 3rd ed. / Pearson International Edition prepared by Pearson Education Upper Saddle River (New Jersey) : Pearson Prentice Hall, cop. 2010. |
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BC | Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, Mathematics for Machine Learning, Cambridge University Press, 2020 |
| Bermúdez Cameo, Jesús | |
| Civera Sancho, Javier | |
| Martínez Montiel, José María | |
| Tirado Garín, Javier |
