All you need for introductory machine learning is multivariable calculus (for some simple optimization stuff), linear algebra, and probability. If you don't kno

All you need for introductory machine learning is multivariable calculus (for some simple optimization stuff), linear algebra, and probability. If you don't know probability, here's a good course: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/ https://ocw.mit.edu/courses/electrical-engineering-and-compu.... Once you feel comfortable with those, you'll be more than ready to tackle 6.867: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/ https://ocw.mit.edu/courses/electrical-engineering-and-compu....