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

To do for Wednesday

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