For the Spring 2017 semester, I am an Undergraduate Student Instructor. Also see resources that I produced Fall 2016.

Notes

These are designed to be streamlined, covering only quintessential proofs that provide insight. As of current, they are structured to match Professor Shewchuk's lecture notes.

• Note 1 : Introduction & Abstractions
• Note 2 : Perceptrons
• Note 3 : Support Vector Machines
• Note 4 : Convex Optimization
• Note 5 : Decision Theory
• Note 6 : Gaussian Discriminant Analysis (LDA, QDA)
• Note 7 : Decompositions (EVD, SVD)

Quizzes

These quizzes are not for a grade. However, it is still in your best interest to complete them.

• 1/31 Perceptrons Quiz 02 (Solutions)
• 2/7 Support Vector Machines, Convex Optimization Quiz 03 (Solutions)
• 2/14 Gaussian Discriminant Analysis, Decompositions Quiz 04 (Solutions)

Crib Sheets

Crib sheets contain cheat-sheet worthy material. They are not substitutes for lecture or for readings.

• 2/14 Gaussian Discriminant Analysis, Decompositions Crib 04

Extras

Extra resources and documents that I've written.