Supervised Learning
Supervised learning fits a function from labeled examples — inputs paired with known outputs. This lesson is a placeholder for a tour of regression and classification.
What's coming
- Regression vs. classification, and the loss functions each uses.
- Linear models as the baseline everything else is compared to.
- Overfitting, and the regularization tools used to fight it.