## What is persistent homology?

About topological data analysis and persistent homology in particular.

This author has yet to write their bio.

Meanwhile lets just say that we are proud Orbifold contributed a whooping 209 entries.

About topological data analysis and persistent homology in particular.

Jena and Fuseki are not reliable.

Grakn has something new and exciting but not yet ready for prime time.

Learning from graphs rather than from tabular data.

Crossval predictions instead of the usual fit-predict approach.

Kernels can be seen as histogram generalizations.

Visualizing the decision intersections for a 2D classification via decision trees.

A lesser-known, step-like function approximation method.

A classic example of using a (random) forest classifier to sort features.

Using sklearn GridSearch to optimize hyperparameters.

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