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.
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)
3. Start my own project