Prof. Fabio Angeletti

• All the class material is available on the e-learning platform (slides, lecture notes, and reference to the textbook).

Argomenti del programma: Artificial Intelligence (AI) and Machine Learning (ML) - This topic will cover the basics of AI and ML, such as supervised and unsupervised learning, neural networks, and deep learning. Additionally, it explores some applications of AI and ML in businesses, such as predictive analytics, natural language processing, and automation.

• Lecture slides, lab worksheets, tutorials and datasets provided by the instructor on the course web page constitute the main reference material and are sufficient for exam preparation.

Argomenti del programma: The course is organized into two parts. Part I - AI Literacy: fundamental concepts of Artificial Intelligence and its main subfields (machine learning, deep learning, natural language processing, generative AI); historical evolution of AI; main techniques and families of algorithms (supervised and unsupervised learning, neural networks, language models), presented with an introductory and applied perspective;…

• All the class material is available on the LUISS e-learning platform. Additional resources that could be considered are reported following.

Argomenti del programma: The course spans twelve weeks and provides a comprehensive introduction to artificial intelligence, combining theoretical foundations with hands-on programming in Python. It begins with a review of essential programming skills and quickly moves into the core paradigms of machine learning, including supervised, unsupervised, and reinforcement learning.