I'm excited for this - I have stitched together my own courseplan to study machine learning, but this will be great to workback from, complement, or supplant in certain cases.
Hi, sorry I missed this message. You probably won't see this, but my plan is to do the following (you can Google the course names):
1. Learn math (I majored in history and sociology)
Classes
-------------
Linear Algebra: Foundation to Frontiers (UT Austin)
Linear Algebra, MIT OpenCourseware
Single-Variable Calculus, MIT OpenCourseware
Multi-Variable Calculus, MIT OpenCourseware
Probability Theory, Stanford CS109
2. Learn machine learning
Machine Learning, Stanford CS229 (taught by Andrew Ng)
Classes @ deeplearning.ai (also taught by Andrew Ng)
