Introduction to Machine Learning

Starting from the very basics, this course wil cover most important ML algorithms and how to apply them in practice. Executable R notebooks, data sets and slides will be available. The course is free but you must register to attend it, by this Registration Form. The course coordinator is David Ríos Insua.

We shall meet on Fridays from 10:30 till 12:00 (physically at ICMAT, online as announced). To start on January 20th.

Course contents (to be uploaded):

  1. Intro
  2. Linear Regression
  3. Linear Classification
  4. Trees
  5. SVMs
  6. PGMs
  7. Intro Nnets
  8. Intro Deep Nnets
  9. Non supervised learning
  10. RL