Artificial Intelligence
Descrizione
AI deals with intelligent behavior, learning, and adaptation in machines, robots and body-less computer programs. The goal of this course is to investigate advanced AI models and algorithms useful to solve real-world search, constraint satisfaction, games and machine learning problems also in case of unprecise and stochastic knowledge.
REFERENCES
- Artificial Intelligence: A Modern Approach (3rd Edition) by Stuart Russell, Peter Norvig
- Pattern Recognition and Machine Learning (Information Science and Statistics) Christopher M. Bishop
- Probabilistic Graphical Models. Covers factor graphs and Bayesian networks, Koller and Friedman.
- Course Material in English will be provided to the students
Persone
Docente titolare del corso
Docente titolare del corso
Assistente
Informazioni aggiuntive
Semestre
Autunnale
Anno accademico
2019-2020
ECTS
6
Lingua
Inglese
Offerta formativa
Master of Science in Artificial Intelligence, Corso di base, Corso, 2° anno
Master of Science in Financial Technology and Computing, Corso di base, Corso, 2° anno
Master of Science in Financial Technology and Computing, Corso di base, Corso, 2° anno
