Final (open book)
Thursday 12/7 4:30 - 5:45 and
Tuesday 12/12 4:30 - 7:30
- Three parts:
- 1. (40%)Mini-project due 12/11
- 2. (20%)Multiple choice on 12/7 during class time
- It includes all the material covered.
- 3. (40%)Presentation 12/12 4:30-7:30PM (180 min/11 students = 16min/student)
- I. Advanced technical material (<8 min)
- II. Mini-Project (<8 min)
Advanced topics suggestions:
- Derivatives and how they are used to find the line of best fit.
- Any topics from the Markov Chain handout
- Any topics from the Mathematics for Machine Learning book
- Linear Regression, K-means Clustering, ID3 Algorithm.
