Sometimes one model isn’t enough. In this guide to ensemble models, I’ll walk you through how (and when) to use ensemble techniques for your machine learning models.
A neural network is a series of algorithms that identifies patterns and relationships in data, similar to the way the brain operates. Here's how they work.
Linear regression is employed in supervised machine learning tasks. OLS regression can be used to obtain a straight line as close as possible to your data points.
Adjusted R-squared is a reliable measure of goodness of fit for multiple regression problems. Discover the math behind it and how it differs from R-squared.
Artificial general intelligence is the ultimate goal of much research in the field, but is it possible? Our expert says that depends on another question: Is the human brain a computer?
