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
Also applying the same curious spirit to related and less related topics, such as
- exploration of Python package at pyspect.com
- exploration of literature and bilingual aligned texts at literature.spectalizer.com