no code implementations • 28 Nov 2018 • Marco Cavallo, Çağatay Demiralp
However, reasoning dynamically about the results of a dimensionality reduction is difficult.
no code implementations • 25 Jun 2018 • Marco Cavallo, Çağatay Demiralp
We demonstrate how Track Xplorer helps identify early on possible systemic data errors, effectively track and compare the results of different classifiers, and reason about and pinpoint the causes of misclassifications.
no code implementations • 9 Apr 2018 • Marco Cavallo, Çağatay Demiralp
Data scientists need adequate interactive tools to effectively explore and navigate the large clustering space so as to improve the effectiveness of exploratory clustering analysis.