INTELLIGENZA ARTIFICIALE

• Understand and distinguish between paradigms for intelligent systems development based on “classical AI” and on “Machine Learning”
• Being able to design, prototype and evaluate systems that learn from heterogeneous data (from text to multimedia)
• Know cognitive services available on Cloud for big data analysis
• Be aware of the limitations and of ethical issues related to the development of intelligent algorithms and systems.

Lectures, practical labs, case study discussion.

“Classical” Artificial Intelligence: Reasoning and Problem-solving

• Autonomous agents and their environments
• Cognitive systems architecture (perception, memory, reasoning, action and metacognition)
• Knowledge representation techniques
• Reasoning: analogical, case-based, probabilistic. Uncertainty and Bayesian inference
• Problem-solving: problem solving “by search” and problem solving “by description”

Machine learning e data mining

• Classification, regression and predictive models.
• Supervised learning (decision trees, Support Vector Machines, Neural networks)
• Unsupervised learning: clustering
• “Deep learning”: Convolutional neural networks (CNN) and Recurrent Neural networks (RNN). Computational issues.
• “Knowledge discovery from data”: the data mining process, model development and testing, evaluation. Data visualization.
• Model limitations (explainability, and Bias in dataset)
• Ethical issues
• The PyTORCH library for Deep Learning

Applications

• Recommender systems
• Sentiment analysis
• Design of conversational agents (chatbot)

Lecture notes provided by the instructor on Studium.

Selected chapters from:

• Artificial intelligence: a modern approach. Stuart Russell, Peter Norvig, 3rd edition, 2010

Technical documentation on relevant machine learning libraries.

Please remember that in compliance with art 171 L22.04.1941, n. 633 and its amendments, it is illegal to copy entire books or journals, only 15% of their content can be copied.

For further information on sanctions and regulations concerning photocopying please refer to the regulations on copyright (Linee Guida sulla Gestione dei Diritti d’Autore) provided by AIDRO - Associazione Italiana per i Diritti di Riproduzione delle opere dell’ingegno (the Italian Association on Copyright).

All the books listed in the programs can be consulted in the Library.