📕 subnode [[@vera/linear regression]]
in 📚 node [[linear-regression]]

## Backlinks

*Backlinks last generated 2022-01-28 07:55:20*

⥅ node [[linear_regression]] pulled by the Agora

📓
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.

⥅ related node [[linear_regression]]

📖 stoas for [[@vera/linear regression]]

- public document at doc.anagora.org/linear-regression
- video call at meet.jit.si/linear-regression

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