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A Guide to Symbolic Regression Machine Learning

May 19, 2021 turing

Symbolic Regression is a technique that discovers explicit mathematical formulas that connect variables on a dataset. This allows machine learning problems to be solved in a very elegant and robust way. Here we will talk about this method and its advantages.

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Posted in: Machine learning

DataRobot alternative for Symbolic Regression

May 10, 2021 turing

A DataRobot alternative exists in 2021 and is called TuringBot. Here we will talk about this program and its characteristics.

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Posted in: Artificial intelligence, Eureqa, Machine learning

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

Decision boundary discovery with symbolic regression

November 10, 2020 turing

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

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Posted in: Classification models, Machine learning, Symbolic regression

How to create an AI trading system

August 12, 2020 turing

Predicting 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.

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Posted in: Algorithmic trading, Classification models, Machine learning

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

Machine learning black box models: some alternatives

August 6, 2020 turing

In 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.

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Posted in: Deep learning, Machine learning, Neural network

A regression model example and how to generate it

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

A free AI software for PC

turing

If 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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Posted in: Artificial intelligence, Classification models, Deep learning, Machine learning

How to find a formula for the nth term of a sequence

turing

Given 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.

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Posted in: Deep learning, Machine learning, Symbolic regression

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