How to Use BluelightAI Cobalt with Tabular Data

BluelightAI Cobalt is built to quickly give you deep insights into complex data. You may have seen examples where Cobalt quickly reveals something hidden in text or image data, leveraging the power of neural embedding models. But what about tabular data, the often-underappreciated workhorse of machine learning and data science tasks? Can Cobalt bring the power of TDA to understanding structured tabular datasets?

Yes! Using tabular data in Cobalt is easy and straightforward. We’ll show how to do this with a quick exploration of a simple tabular dataset from the UCI repository. This dataset consists of physiochemical data on around 6500 samples of different wines, together with quality ratings and a tag for whether the wine is red or white.