Recent Articles

With AI and machine learning becoming more accessible than ever before. Data Science in .NET with Polyglot Notebooks helps .NET devs get started.

I got a masters degree from using ML.NET to predict if code commits are bugfixes or non-bugfixes. Here’s how I trained, evaluated, and deployed those binary classification models using C#.

ML.NET is fast, powerful, and developer and production ready. Let’s talk about what ML.NET is and why you might want to use it.

Loading data, describing that data, and visualizing it in a single notebook can be surprisingly difficult with F#. This article walks you through the rough points of performing EDA in a .NET data science notebook.

Big O notation can be confusing, but Polyglot Notebooks and a simple magic command can help simplify it.