Four models on six public datasets: a majority-class guess, logistic regression, default boosted trees and a 200-fit tuned ...

A lot of people, at least in the pre-"vibe coding era," lament that they can't program because they're "not math people." I wasn't either. Here's how I got started building machine learning models in ...

This is the third in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

A hands-on guide to building and training a two-hidden-layer neural network regressor in C#, including data preparation, SGD, evaluation, and using the trained model.

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Regression defects -- defects surrounding or related to changed code -- can happen at any stage in the development process. That makes it critical to include a regression test suite in all test ...