Data science is becoming more and more widespread, pushed by companies that are finding that very valuable and actionable information can be extracted from their databases.
It can be challenging to develop useful models from raw data. Here we will introduce a tool that makes it very easy to develop state of the art models from any dataset.
In this tutorial, we are going to show how you can find a formula from your data using the symbolic regression software TuringBot. It is a desktop software that runs on both Windows and Linux, and as you will see the usage is very simple.
Many machine learning methods are presently available, including for instance neural networks, random forests and support vector machines. In this article, we will talk about a very unexplored algorithm called symbolic regression, and will show how it can be used to solve machine learning problems in a very transparent and explicit way.