A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

Gaussian process regression is a sophisticated technique that uses what is called the kernel trick to deal with complex non-linear data, and L2 regularization to avoid model overfitting where a model ...

insights from industryDr. David Honigs, Ph.D.Field Applications ScientistPerkinElmer, Inc. In this interview, Dr. David Honigs, Ph.D, the Field Applications Scientist at PerkinElmer, Inc., talks to ...