Spectalizer

Revealing the beauty in data

Illuminating the nexus of data visualization, machine learning and mathematical optimization, with topics such as

• Optimizing visualization: Using mathematical optimization techniques to improve data visualizations
• Opening black boxes: Visualizing the internals of machine learning models
• Visualizing computer code: classes, dependencies, files, commits etc.
• Exploring and visualizing structured and unstructured data related to machine learning research and the open-source machine learning
• Illustrating data visualization techniques and their relationships