PhD Course: Deep Learning and Statistical Learning

Published June 28, 2023 - 08:52

The course is aimed at reviewing a set of statistical and feature learning methods and tools which can be exploited in data science.

We will start by studying probabilistic modeling, the problems of inference and parameter estimation, generative vs. discriminative learning, Bayesian learning.

Within this framework, we will focus on the most prominent machine learning methods: Neural networks and Feature learning, latent variable modeling.

We shall apply these mathematical tools to the problems of supervised, semi-supervised and unsupervised learning and to scenarios such as text and document modeling, image and video analysis, social network analysis, recommendation.

 

meeting room of the ICAR CNR -  ground floor, cube 8/9C 

- 24/07/2023 (14:00-18:00): https://teams.microsoft.com/l/meetup-join/19%3ameeting_MGEyNjUzYmItYThkZC00ZmQwLTgxYjktYWJkNjkyMjNmNjlh%40thread.v2/0?context=%7b%22Tid%22%3a%227519d0cd-2106-47d9-adcb-320023abff57%22%2c%22Oid%22%3a%22f62b54d8-59e1-4e1e-ad35-6d2c5299b754%22%7d

 

- 25/07/2023 (14:00-18:00): https://teams.microsoft.com/l/meetup-join/19%3ameeting_MDBjZjY3Y2EtZGY3Yy00ZTIyLTkwN2YtM2UyMTkwYzI4NWZl%40thread.v2/0?context=%7b%22Tid%22%3a%227519d0cd-2106-47d9-adcb-320023abff57%22%2c%22Oid%22%3a%22f62b54d8-59e1-4e1e-ad35-6d2c5299b754%22%7d

 

8H - 2CFU

 

Teachers: 
Prof. Giuseppe Manco