The course introduces the student to the principles and methods used to solve Artificial Intelligence methods, with a particular attention to knowledge-based systems and computational logic approaches.
Students will be able to correctly formulate and solve machine learning problems.
Learning outcomes
Knowledge and understanding
- Provide an overview of the main techniques of machine learning: classification, regression, supervised, unsupervised and reinforcement learning
- Knowledge of the Python programming language.
Applying knowledge and understanding
- Solve machine learning problems starting from various data sets, by applying the techniques studied.
- Use of the Python programming language.
