AI engineering glossary · Classical ML algorithms
What is multiple linear regression?
Multiple linear regression: A straight-line style model with two or more input features, written y = b0 + b1*x1 + b2*x2 + ... Each weight shows the effect of its feature while the others are held fixed. It extends the one-feature case to realistic problems with many predictors.
Multiple linear regression: an example
Predicting delivery time from distance_km, orders_in_queue and rain_flag: time = 8 + 3.5 * distance_km + 1.2 * orders_in_queue + 6 * rain_flag minutes.
Related terms
More Classical ML algorithms terms
- Naive Bayes
- Non-negative matrix factorisation
- Normal equation
- Odds ratio
- One-class SVM
- One-vs-one
- One-vs-rest
- Ordinary least squares
Where you learn it
Multiple linear regression is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.