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Predicting a continuous value rather than a category.
Possible algorithms:
- linear regression
- polynomial regression
- ridge regression
- lasso regression
- decision trees and random forests
- neural networks
The goal is to learn a function that minimizes the expected loss:
We first have to select a loss function, for single point commons losses are:
- squared loss
- absolute error
- Huber Loss