30586 - MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE LAB

For a fruitful and effective learning experience, it is recommended a preliminary elementary knowledge of algebra, calculus and probability.

The purpose of this course is to present some basic methods of modern artificial intelligence, highlighting both their strength and their limitations.

• Elements of statistical inference
• Elements of machine learning
• Example of applications
• Simple programming exercises

- undestand the main differences between the tools which compose modern AI

- understand the elementary aspects of the methodological foundation of machine learning

- discriminate netween different problem types

- undestand tools should be used

- formulate questions in a quantitative form (optimization problem)

• Online lectures

Each online lecture will be self-contained and devoted to a specific topic.

Multiple choice question will serve the scope of checking that the students have acquired a sufficient level of understanding of the most basic and elementary  methods and propblems of AI

huandouts will be provided prior to the course