Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Microsoft has open sourced the GitHub Copilot Chat extension, marking a major step in turning VS Code into an open-source AI ...

Explore the codebase and learn how agent mode is implemented, what context is sent to LLMs, and how we engineer our prompts.' ...

GitHub chose Microsoft's 50th anniversary to highlight a bevy of Copilot enhancements that further the practice of 'vibe coding,' where AI does all the drudgery according to human supervision.

News AI Coding Assistants Encroach on Copilot's Special GitHub Relationship By David Ramel 04/07/2025 Microsoft had a great thing going when it had GitHub Copilot all to itself in Visual Studio and ...

Q&A The Science Behind User Interface Design By David Ramel 01/07/2025 User interface design expert Billy Hollis is annoyed when he spots even tiny application tweaks that could improve the intuitive ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Microsoft recently advanced .NET MAUI to General Availability status, but many developers have complained about half-baked functionality that was shipped too soon.

Dr. James McCaffrey of Microsoft Research shows how to compute the Wasserstein distance and explains why it is often preferable to alternative distance functions, used to measure the distance between ...

The Data Science Lab Principal Component Analysis (PCA) from Scratch Using the Classical Technique with C# Transforming a dataset into one with fewer columns is more complicated than it might seem, ...

Test projects give you a way to exercise your code to see if it works but they're also part of your project's 'permanent record.' If all you want to do is try something out with some throwaway code, C ...

The main advantage of using PCA for anomaly detection, compared to alternative techniques such as a neural autoencoder, is simplicity -- assuming you have a function that computes eigenvalues and ...