A mathematically rigorous approach to machine learning.
Math and Stats Majors/Honours students, CS students.
Math 223/Math 248 or equivalent (linear algebra majors/honours)
Math 222 (Calculus 3)
Math 324/Math 357 (Statistics)
Probability course (implied, since it is a prerequisite for 324/357)
Math 358 Honours Vector Calculus/Math 314 Advanced Calculus
Math 562, Winter 2022
This is a sequel to Math 462. There will be a small amount of repetition of topics, since some students will not have taken 462. However, to avoid repeated material, students from 462 will work on their project and be excused from HW problems which overlap.
Soft grading policy: you are encouraged to make your best effort to complete all the work. However, if you need to miss anything (assignment or exam), I will institute a soft grading policy which will allow one missed assignment and one missed midterm exam, with a small penalty. Your final grade will be given by your average on the other work, with a penalty of:
1% (for each assignment missed),
2% (for a missed midterm).
3% (for a missed final exam)
E.g. if you missed one assignment and one midterm, with an average of 87% on the rest, then the penalty would be 87-(1+2) = 84%.