Symbolic regression is a method where a computer tries to find mathematical formulas that describe a relationship between different numbers or data.
Imagine you have many measurements and want to know how they are related, for example, how the height of a plant depends on water.
The computer then searches for a suitable formula that describes these relationships without you telling it in advance what the formula should look like.
This way, hidden patterns can be discovered and understood how things work in nature or technology.