kiroi.org

AIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

7 October 2024

Linear regression in AI (Glossary)

4.3
(1008)

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.

How useful was this post?

Click on a star to rate it!

Average rating 4.3 / 5. Vote count: 1008

No votes so far! Be the first to rate this post.

Share on the web now:

Other content worth reading:

Discover how Linear Regression in AI enables data-based decisions. Find out more now and secure benefits!

written by:

Keywords:

#3DPrint 1TP5InnovationThroughMindfulness #Cost savings #Supply chain #Value added

Follow me on my channels:

Questions on the topic? Contact us now without obligation

Contact us
=
Please enter the result as a number.

More articles worth reading

Leave a comment