Prof. Luca Vassio

• Additional material, including slides and code fragments, will be made available on the course website.

Argomenti del programma: Machine learning and pattern recognition - Introduction and definitions Probability theory concepts - Random Variables - Estimators - The Bayesian framework Introduction to Python - The language - Main numerical libraries Decision Theory - Inference, expected loss - Model taxonomy: generative and discriminative approaches - Model optimization, hyperparameter selection, cross-validation Model evaluation -…

• Copies of the slides used during the lectures, examples of exercises, and manuals for the activities in the laboratory will be made available. All teaching material can be downloaded from the course page in the Teaching Portal.

Argomenti del programma: Intelligent transport systems and ICT (1 CFU) – Definition of a transport system. Characteristics of transport demand and supply. Impacts of the transport systems (economic, social, environmental). Fundamentals of ITS (standard and architecture) and application to innovation for transport systems, in mobility management, and in the definition of mobility patterns. The relationship between transport systems and ICT.