Artificial Intelligence & Machine Learning
Linear Regression
Definition
Linear regression is a basic and commonly used type of predictive analysis. It is a statistical approach for modeling the relationship between a dependent variable with a given set of independent variables by fitting a linear equation to the observed data.
Why It Matters
Linear regression is often the first algorithm that machine learning practitioners learn. It is a simple, interpretable model that serves as a good baseline for regression problems.
Contextual Example
You could use linear regression to model the relationship between years of experience and salary. The model would find the best-fit straight line that predicts salary based on experience.
Common Misunderstandings
- It assumes a linear relationship between the input and output variables.
- It is a supervised learning algorithm.