Author Archives: jamesdmccaffrey

Bottom line: I refactored a C# implementation of trimmed kernel ridge regression to approximate support vector regression. The old version had ugly repeated code in two different SGD training phases, so I created a helper method to remove the code … Continue reading →

The goal of a machine learning regression problem is to predict a single numeric value. For example, a bank might want to predict the maximum safe load amount for a customer, based on age, account balance, annual income, and so … Continue reading →

Bottom line: I refactored my C# implementation of trimmed kernel ridge regression to approximate support vector regression. The refactoring works fine, but the code is so long, there are multiple ways to organize it, and so I might have to … Continue reading →

One night, I just couldn’t sleep. So I thought about program design and the C# “dynamic” keyword. (My life would be considered sad by most people, but I’m happy with it). My standard machine learning regression system implemented in C# … Continue reading →

I wrote an article titled “AdaBoost.R2 Regression Using C#” in the June 2026 edition of Microsoft Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2026/06/01/adaboost-r2-regression-using-csharp.aspx. The goal of a machine learning regression problem is to predict a single numeric value. For example, a bank … Continue reading →