From helping Fortune 500 executives ditch guesswork for measurable insight, to designing AI-assisted frameworks that make the “unquantifiable” visible, her work bridges analytics, design, consulting, ...

Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps.

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

Precision Care Medicine is a two-semester, project-based learning course ... faculty at Johns Hopkins Medicine to apply machine learning and mechanistic and statistical modeling to develop novel ...

Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ...

This repository hosts a progressive series of implementations (Code_v1, Code_v2, and beyond) for deterministic β*-optimization in the Information Bottleneck framework. Includes symbolic fusion, ...