📕 subnode [[@KGBicheno/linear_regression]]
in 📚 node [[linear_regression]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Linear_Regression.md by @KGBicheno
linear regression
Go back to the [[AI Glossary]]
Using the raw output y^1 of a linear model as the actual prediction in a regression model. The goal of a regression problem is to make a real-valued prediction. For example, if the raw output y^1 of a linear model is 8.37, then the prediction is 8.37.
Contrast linear regression with logistic regression. Also, contrast regression with classification.
📖 stoas
- public document at doc.anagora.org/linear_regression
- video call at meet.jit.si/linear_regression