Machine learning involves strategically iterating and improving upon a model. In this week's lab and Peer Review, you will identify weaknesses with linear regression models and strategically improve ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...