Prerequisites
Prerequisites
The course is targeted at ML beginners with a basic, university level, education in maths and statistics:
 Basic linear algebra: vectors, matrices, determinants
 Simple calculus: derivatives, integrals, gradients
 Some probability theory: probability, random variables, distributions
 Basic statistics knowledge: descriptive statistics, estimators.
 (Linear) modelling from a statistics perspective will help, but is not required.
 Working knowledge of R.
References for Prerequisites

R
 Introductory course on datacamp.com
 H. Wickham, G. Grolemund. R for Data Science. link