More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

Sometimes we get so used to dreamy landscapes and cute puppies that we forget about nature's dark side. But it's there.

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Cybersecurity researchers have disclosed multiple critical security vulnerabilities in Chaos Mesh that, if successfully exploited, could lead to cluster takeover in Kubernetes environments. "Attackers ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Objective: This study analyzes university students’ physical fitness and, based on the results, applies cluster analysis to identify homogeneous groups with aim to optimize physical education programs ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Machine learning is one of the most in-demand tech skills of our time—and online learning platforms like Udemy make it easier than ever to get started. Whether you’re a beginner aiming to break into ...

Developed a custom clustering algorithm to analyze wine data without traditional machine learning. The project standardizes features and employs mathematical formulas using NumPy to identify distinct ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...