Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis.
This repository contains exercises from a course in computational statistics, starting with simple Monte Carlo simulations to become familiar with this topic.
I highly recomment you the following book: An introduction to statistical learning
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, p. 18). New York: springer.
These are selected topics:
Chapter 01 of the script:
Chapter 02 of the script:
Chapter 03 of the script:
Chapter 04 of the script:
Chapter 05 of the script:
Chapter 06 of the script: