I like Kubernetes way of declarative workload configuration, but handling cluster state using dozens or hundreds of YAML files is impractical. Of course, one can just combine them all into a single uber-YAML :smile:. But the harsh reality is, despite the ... (more…)
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The rules extraction from the Decision Tree can help with better understanding how samples propagate through the tree during the prediction. It can be needed if we want to implement a Decision Tree without Scikit-learn or different than Python language. D... (more…)
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A brief discussion about model-free or in-memory collaborative filtering recommendation systems with a fast Python implementation. (more…)
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