A lot of stuff.

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# Applied Optimization and Machine Learning
This repo contains all the materials I used while giving the course Applied
Optimization and Machine Learning techniques during year 2021/2022.
It contains the following materials:
- Lecture notes: the different notes I used in the classes.
- Cases: the three cases that students had to do during the course. Each case
includes a narrative description, data and some helping code. The folders
also contain the grading details.
- Exam: the exam, along with the grading helper to calculate the final scores
of students.
- Other: a bit of everything.
- Random notes
- Memories I want to keep.
- Interesting materials that I did not directly use during the course.
- Ideas for next year.