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