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Popular pages
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Utility vs Understanding: the State of Machine Learning Entering 2022
The empirical utility of some fields of machine learning has rapidly outpaced our understanding of the underlying theory - but we're not sure why.
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How Shapley Values Work - A Simple Guide
In this article, we will explore how Shapley values work - not using cryptic formulae, but by way of code and simplified explanations.
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Machine Learning - Impromptu Engineer
Tech Lead, working on AI for life sciences. I write about data science, machine learning, and engineering data products.
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Supervised Clustering: Better Clusters Using SHAP Values
Supervised clustering is a powerful technique that uses SHAP values to identify better-separated clusters than conventional clustering approaches
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4 Pandas Anti-Patterns to Avoid and How to Fix Them
This post highlights four common pandas anti-patterns and outlines a complementary set of techniques that you should use instead.
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Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses
With interpretability becoming an increasingly important requirement for machine learning projects, there's a growing need for the complex outputs of techniques such as SHAP to be communicated to non-...