cm011.Rmd

---
title: "Statistical learning: resampling methods"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(cache=TRUE)
```

# cm011 - February 13, 2017

## Overview

* Define resampling methods
* Compare and contrast the validation set approach with leave-one-out and $k$-fold cross-validation
* Define bootstrapping and explain when it can be used in research
* Demonstrate how to conduct cross-validation and bootstrapping using `modelr`

## Slides and links

* [Slides](extras/cm011_slides.html)
* [Resampling methods](stat005_resampling.html)

* Chapter 5 in [*An Introduction to Statistical Learning*](http://link.springer.com.proxy.uchicago.edu/book/10.1007%2F978-1-4614-7138-7)
* [k-fold cross validation with `modelr` and `broom`](https://drsimonj.svbtle.com/k-fold-cross-validation-with-modelr-and-broom)

## To do for Wednesday

* Finish [homework 06](hw06-stat-learn.html)