Machine Learning

Welcome!

This repository will be dedicated to the documents corresponding to my study into ML. There are 3 distinct components:

• Self study - The brief independent study group to catch up on the applications in ML
• Cpsc 340 - The undergraduate applications course on ML
• Cpsc 540 - The graduate level theory course I have taken with Tim Jaschek and Ziming Yin

All code can be found here for the self study: Code. The code and assignments for the courses are self explainatory.

Meetings

• Meeting 1
• Meeting 2
• Meeting 3

Code for each section:

• A brief intro to Julia from the TUM workshop: Intro Notebook or Intro Raw
• Meeting 1: Decision Tree Notebook or Decision Tree Raw
• Meeting 2: Assignment 1 Notebook

Loosely, here is the schedule for the self-study: