A DataRobot alternative exists in 2021 and is called TuringBot. Here we will talk about this program and its characteristics.
Read MoreSay 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.
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 MoreIn 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.
Read MoreIn this article, we will discuss a very basic question regarding machine learning: is every model a black box? Certainly most methods seem to be, but as we will see, there are very interesting exceptions to this.
Read MoreRegression 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.
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.
Read MoreGiven a sequence of numbers, finding an explicit mathematical formula that computes the nth term of the sequence can be challenging, except in very special cases like arithmetic and geometric sequences.
Read MoreData 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.
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