I am starting a project for a university that involves machine learning and cancer detection. Much of the project involves orchestration, but I wanted to get a refresher in this space. I did some of this kind of work last year, but I wanted to see what was new.
Udemy course: https://www.udemy.com/course/mastering-deep-learning-for-cancer-detection
My Notes: https://docs.google.com/document/d/1VUoRSLNDU4VHKog2bavXM-q3AqhtClbmoSuRliwLYuc/edit?usp=sharing
