Deep Dive Into Univariate Drift Detection Methods

In this webinar, you will learn how to pick the most suitable Univariate Data Drift Detection methods for troubleshooting your ML model using NannyML.

The webinar is split into a conceptual and a practical part. The first part will cover Drift Detection methods, including their theory, advantages, and shortcomings. In the practical part, compare different methods on a specifically prepared dataset and pick the most suitable method.


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https://www.nannyml.com/

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https://github.com/nannyml/nannyml

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