(MLA) Key Topics

The Machine Learning professionals we train are keen to apply state of the art algorithms to industry and social challenges. To provide them with the necessary tools, students will be given both the scientific foundations to deeply understand the main ML concepts, and the technical preparation to implement new algorithms in the real world. 

Machine Learning I Merone
Machine Learning II Merone
Deep Leaarning Capirchio
Big data analysis with Pandas Cecconi/Mirino
Fundamentals of reinforcement learning Santucci
Open-ended learning Baldassarre/Cartoni
Sentiment analysis De Persiis/Reforgiato
Commercial and serious game Schembri
Data augmentation D’Amore
AI Lab: ML Vs Deep network and Perception of motion Tamantini
Natural Language Processing Reforgiato
AI Lab: Deep network for NLP De Persis
Knowledge graph and semantic web
Data pre-processing Mirino