In this short tutorial, we take a look at how to solve classification problems using Symbolic Regression:

Classification problems are widespread and of great practical importance. In this article, we will show how symbolic regression can be used to solve this kind of problem.

Read MoreAn interesting classification problem is trying to find a decision boundary that separates two categories of points. For instance, consider the following cloud of points:

Read MorePredicting whether the price of a stock will rise or fall is perhaps one of the most difficult machine learning tasks. Signals must be found on datasets which are dominated by noise, and in a robust way that will not overfit the training data.

Read MoreIf you are interested in solving AI problems and would like an easy-to-use desktop software that yields state-of-the-art results, you might like TuringBot. In this article, we will show you how it can be used to easily solve classification and regression problems, and explain the methodology that it uses, which is called symbolic regression.

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