Polynomial regression is an important method in machine learning. It is an extension of linear regression that models non-linear relationships between outcome and predictor variables.
Researchers working on artificial intelligence at Facebook recently terminated a project. Our expert explains why and explores the ramifications on the broader field.
Web scraping and machine learning are currently entwined in a feedback loop in which each leads to increasing sophistication in the other’s methods. Our expert examines the state of the field.
Setting environment variables in Linux is a process with a wide range of applications for data scientists, machine learning engineers and programmers. This guide will help you get started with the process.
Knowledge graphs are becoming increasingly common thanks to their wide range of applications across industries. This guide introduces you to their basic principles and some examples.
