# cm009 - February 6, 2017

## Overview

• Define statistical learning
• Review the major goals of statistical learning
• Explain the difference between parametric and non-parametric methods
• Identify the difference between statistical learning and machine learning
• Introduce linear models and ordinary least squares regression
• Demonstrate how to estimate a linear model in R using lm()
• Demonstrate how to extract model statistics using broom and modelr