Visualized data

Graphic Design
Apps & Digital
Aug 2016
Client:
IBM Watson

This project started as an experiment exploring how you can visualize how machine learning works for non-technical visitors to the centers. Machines can not see or know — so how do algorithms work. This demonstration uses a k-means algorithm by showing how it maps data and how it finds the averages among arbitrary central points. This algo is applicable in recommendation engines and as well as classification.

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