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Prof. Fabio Galasso

Sapienza Università di Roma · Ingegneria dell'informazione, informatica e statistica · libri consigliati, cosa studiare e orario delle lezioni, a.a. 2026/2027

Advanced Machine Learning Canale unico

Ingegneria dell'informazione, informatica e statistica · esame facoltativo · 6 CFU · apri nel catalogo

Reference books Machine Learning

Reference books for Deep Learning

Reference books for Computer Vision

Reference books for Robotics

Reference book for Python and Pytorch

Cosa indica di studiare il docente
  • Slides and coding scripts will be distributed after lectures, as well as references to online material, including papers and blogs.

Argomenti del programma: The course will present advanced concepts of machine learning and their application in computer vision via deep neural network (DNN) models. It will include theory and practical coding, as well as a final hands-on project. In the first part of the course, I will introduce state-of-the-art DNN models for classification, showing how to estimate which objects are within an image.

Advanced Machine Learning And Computer Vision Canale unico

Ingegneria dell'informazione, informatica e statistica · esame facoltativo · 6 CFU · apri nel catalogo

Reference books Machine Learning

Reference books for Deep Learning

Reference books for Computer Vision

Reference books for Robotics

Reference book for Python and Pytorch

Cosa indica di studiare il docente
  • Slides and coding scripts will be distributed after lectures, as well as references to online material, including papers and blogs.

Argomenti del programma: The course will present advanced concepts of machine learning and their application in computer vision via deep neural network (DNN) models. It will include theory and practical coding, as well as a final hands-on project. In the first part of the course, I will introduce state-of-the-art DNN models for classification, showing how to estimate which objects are within an image.

Machine Learning Canale unico

Ingegneria dell'informazione, informatica e statistica · 3º anno · 2º semestre · 6 CFU · apri nel catalogo

Libro di riferimento per Machine Learning

Libro di riferimento per Deep Learning

Libro di riferimento per Computer Vision

Libro di riferimento per Python and Pytorch

Cosa indica di studiare il docente
  • Slides e coding scripts saranno distribuiti alle lezioni, e si condivideranno riferimenti a materiale online, inclusi articoli e blogs.

Argomenti del programma: Introduzione al Machine Learning e applicazioni alla computer vision e a natural language processing. Fondamenti di elaborazione digitale delle immagini, incluse le convoluzioni, e introduzione all'elaborazione di input testuali e vocali. Regressione lineare, Gradient Descent, Normal Equation. Classificazione con regressione logistica, metodo di Newton, regressione softmax.

Domande frequenti

Quali libri consiglia il prof. Fabio Galasso per Advanced Machine Learning?

Deisenroth, Faisal, Ong, 2020. Mathematics for Machine Learning; Christopher – Bishop; Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Francois Fleuret, 2024. The Little Book of Deep; Michael – Joan Bruna; Ian Goofellow, Yoshua Bengio, Aaron Courville, 2017. Deep; Andrew Ng, 2019. Machine Learning Yearning (available at:; Zhang Lipton Li Smola Book; Antonio Torralba, Phillip Isola and William T. Freeman,; Richard Szeliski – Algorithms and Applications; Frank Dellaert, 2024, Robotics. (available at: https://www.roboticsbook.org/); Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Jake VanderPlas – Tools and Techniques for Developers

Quali libri consiglia il prof. Fabio Galasso per Advanced Machine Learning And Computer Vision?

Deisenroth, Faisal, Ong, 2020. Mathematics for Machine Learning; Christopher – Bishop; Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Francois Fleuret, 2024. The Little Book of Deep; Michael – Joan Bruna; Ian Goofellow, Yoshua Bengio, Aaron Courville, 2017. Deep; Andrew Ng, 2019. Machine Learning Yearning (available at:; Zhang Lipton Li Smola Book; Antonio Torralba, Phillip Isola and William T. Freeman,; Richard Szeliski – Algorithms and Applications; Frank Dellaert, 2024, Robotics. (available at: https://www.roboticsbook.org/); Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Jake VanderPlas – Tools and Techniques for Developers

Quali libri consiglia il prof. Fabio Galasso per Machine Learning?

Deisenroth, Faisal, Ong, 2020. Mathematics for Machine Learning; Christopher – Bishop; Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Francois Fleuret, 2024. The Little Book of Deep; Michael – Joan Bruna; Ian Goofellow, Yoshua Bengio, Aaron Courville, 2017. Deep; Andrew Ng, 2019. Machine Learning Yearning (available at:; Zhang Lipton Li Smola Book; Antonio Torralba, Phillip Isola and William T. Freeman,; Richard Szeliski – Algorithms and Applications; Aston Zhang, Zachary Lipton, Alexander J. Smola, Mu; Jake VanderPlas – Tools and Techniques for Developers