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Forecasting the growth of a company with a formula

May 7, 2021 turing

Say you have a company or want to invest in a company, and you want to predict how much it will grow in the coming months or years. How to do that?

Here we will show how this problem can be modeled in a very simple way using symbolic regression.

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Posted in: Machine learning, Regression model

10 creative applications of symbolic regression

January 12, 2021 turing

Symbolic regression is a method that discovers mathematical formulas from data without assumptions on what those formulas should look like. Given a set of input variables x1, x2, x3, etc, and a target variable y, it will use trial and error find f such that y = f(x1, x2, x3, …).

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Posted in: Artificial intelligence, Regression model, Symbolic regression

How to create an equation for data points?

August 8, 2020 turing

In order to find an equation from a list of values, a special technique called symbolic regression must be used. The idea is to search over the space of all possible mathematical formulas for the ones with the greatest accuracy, while trying to keep those formulas as simple as possible.

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Posted in: Eureqa, Genetic programming, Machine learning, Regression model

A regression model example and how to generate it

August 6, 2020 turing

Regression models are perhaps the most important class of machine learning models. In this tutorial, we will show how to easily generate a regression model from data values.

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Posted in: Machine learning, Regression model, Symbolic regression
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