---
title: "TMA4268 Statistical Learning V2019"
subtitle: "Module 9: Support Vector Machines"
author: "Mette Langaas, Department of Mathematical Sciences, NTNU"
date: "11.03.2019"
output: #3rd letter intentation hierarchy
  html_document:
    toc: true
    toc_float: true
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE,tidy=TRUE,message=FALSE,warning=FALSE)
```

#<a id="Case">Solutions to Recommended Exercises</a>

## 1. Understanding the algorithms:###

* Exercise 1, 2 and 3 in the book.

[Solutions to exercises in the book, chapter 9](https://rpubs.com/ppaquay/65566)

## 2. Data analysis

No solutions since working through the R-code given is the objective.

## Compulsory exercise 3 2018: Problem 2 - Nonlinear class boundaries and support vector machine 

See solutions here: <https://www.math.ntnu.no/emner/TMA4268/2018v/CompEx/Compulsory3solutions.html>
