Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

Much of modern operating system functionality happens in and around the kernel. That’s a problem when you’re implementing monitoring and observability tools or adding low-level security tools because ...

The Linux-Rust team has implemented new functions for kernel version 6.14 that promise a more stable use of core functions. Miguel Ojeda, the lead developer of Rust for Linux, has announced a number ...

BPF is a powerful component in the Linux kernel and the tools that make use of it are vastly varied and numerous. In this article we examine the general usefulness of BPF and guide you on a path ...