Prescriptive analytics is a tool used in many industries to connect causes to effects, and make well-informed decisions. Here’s why, when and how we use prescriptive analytics.
Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions that significantly impact your data analyses. Here’s what you need to know.
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.
