Machine Learning

In the course Machine Learning, we had to read a lot. It took me quite some time, and luckily I wrote a summary while reading, so here you are! It summarizes all compulsory readings, but it's still a lot. However, it really helped me to obtain a great score for my exam.

This document provides a concise but complete summary of the course contents of Machine Learning as thaught at the Erasmus University.

In this document you can find a short summary for each week of the course Machine Learning in the Econometrics master program at the EUR. I made the summary from my lecture notes. A reading summary for the supplementary readings can be found in another document (and can be bought together with this one in a bundle). Please note that week 7 is not included as in my study year this was not part of the exam material.

Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.