This repository contains the materials (slides, notes, labs) used in the second part of the Statistical Learning course at the MSc in Statistics and Operations Research (MESIO).
Originally there were two repositories that have been merged into a single one.
| Document Title | ||
|---|---|---|
| Presentation | Slides (html) | Slides (pdf) |
| 1-Tree based methods | ||
| 1.1. Classification and Regression trees | Slides (html) | Slides (pdf) |
| 1.2 Ensemble Methods | Slides (html) | Slides (pdf) |
| lab-1.1-CART-Examples | Doc (html) | Rmarkdown |
| lab-1.2-Ensemble-Examples | Doc (html) | Rmarkdown |
| 2-Artificial neural Networks | ||
| 2.1 Introduction to deep learning | Slides (html) Notes (html) |
Slides (pdf) Notes (pdf) |
| 2.2 Convolutional Neural networks | Slides (html) Notes (html) |
Slides (pdf) Notes (pdf) |
| 2.3 Keras, Tensors and TFRuns | Slides (html) | Slides (pdf) |
| lab-2.1-Building DNN with Keras in R | Doc (html) | Rmarkdown |
| lab-2.2 CNN with Keras and R | Doc (pdf) | Rmarkdown |