Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting ...

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

Neural Regression Classification Using PyTorch: Preparing Data. Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to ...

We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In this course, you will learn how to: Express why Statistical Learning is important and how it can ...