Topic outline
Lecture 1
Overview on Statistical learning and Data Science
Lecture 2
We cover:
- the end of the previous slides: Model selection (penalized criteria and cross-validation)
- the begining of the classification lecture.
- the end of the previous slides: Model selection (penalized criteria and cross-validation)
Lecture 3
Lecture 4
Lecture 5