Introduction to machine learning methods.

Syllabus

• Introduction, formal models of machine learning.
• Plug-in methods
• Selection of models/variables, cross-validation
• Empirical Risk Minimization
• Decision Trees
• Neural Nets
• Ethics (Privacy & Fairness)

Link to the webpage of the course.