2. Statistical Learning

Learning objectives

• Compare supervised vs unsupervised learning.
• Compare regression vs classification problems.
• Measure the accuracy of regression model fits.
• Measure the accuracy of classification model fits.
• Describe the trade-off between more accurate models and more interpretable models.
• Compare Parametric vs Nonparametric models
• Understand overfitting.
• Describe how bias and variance contribute to the model error.