Linear regression in AI is an important term in the fields of artificial intelligence, big data, smart data and digital transformation. It is a simple method for recognising correlations and trends from a large amount of data. Specifically, linear regression attempts to describe the relationship between a cause and an effect - for example: How does advertising spend influence the turnover of an online shop?
Imagine you run a digital retail business and want to know how the number of your online adverts affects your monthly turnover. With Linear Regression in AI, a computer programme can calculate a so-called "regression line" from existing sales figures and advertising expenditure. This line shows how much sales increase when you spend more money on advertising.
Linear regression in AI is therefore a tool that enables data-based decisions. It helps companies to optimise processes, create forecasts or identify hidden trends. Precisely because it is simple, fast and easy to understand, it is often the starting point for larger artificial intelligence projects - and is therefore one of the foundations of modern data analysis.