Alessandro Betti Ph.D. is a Postdoctoral Researcher in the Department of Information Engineering and Mathematics (DIISM) of the University of Siena (Siena, Italy). Dr. Betti’s interests include analysis of algorithms, discrete mathematics, tree structures, and formulation of “learning laws? through least action like principles.
2 résultat(s)
Télécharger le livre : Machine Learning
Alessandro Betti , Marco Gori , Stefano Melacci
Machine Learning
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book...
Editeur : Morgan Kaufmann
Parution : 2023-03-01

Format(s) : PDF, epub sans DRM
75,95 €
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Télécharger le livre : Deep Learning to See
Alessandro Betti , Marco Gori , Stefano Melacci
Deep Learning to See
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work...
Editeur : Springer
Parution : 2022-04-26

Format(s) : PDF, ePub
63,29 €
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