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