What a Croissant file is, why it matters for machine-learning datasets, and a complete worked example describing a real, published HuBMAP CODEX spleen dataset.
An introduction to Gaussian Mixture Models (GMM): NIST definition, strong modelling assumptions, and a real-world classification example using the Breast Cancer Wisconsin dataset.
AI agents are autonomous systems that perceive, reason, plan, and act — going far beyond simple chatbots. This post breaks down what they are, why they matter, and which tools and services are leading the charge.
Croissant is an open specification from MLCommons that gives ML datasets a common vocabulary — making them easier to find, load, and reuse across tools and platforms.
