Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech
recognition, effective web search, and a vastly improved understanding of the human genome. The seminar focuses on introducing theoretical
foundations, techniques, and methodologies of machine learning, with a preliminary focus on different machine learning applications for
answering specific challenges in Industry 4.0 domain.
PONENTE: LUCA ROMEO received a Ph.D. degree in computer science from the Department of Information Engineering (DII), Università Politecnica
delle Marche, in 2018. His Ph.D. thesis was on "applied machine
learning for human motion analysis and >>>>>>> affective computing". He is currently a Tenure Track Assistant Professor of Computer Science with University of Macerata UniMC Department Economics and Law. He is also Adjunct Professor of Customer Intelligence & Big Data, at Luiss, Roma and he is affiliated with the Unit of Computational Statistics and Machine Learning, Fondazione Istituto Italiano di Tecnologia Genova. His research topics include the design of novel Machine learning algorithms for solving relevant challenges in different real-world domains.
Portale docenti ‐ University of Macerata: Romeo Luca
