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Root Cause Analysis for ML Model Failure

In this talk, Wojtek will go over the three main methods Advanced Data Science teams use to perform root cause analysis when their machine learning models start to deteriorate. Learn how to combine your domain expertise with the methods so that you can always understand what is wrong with your Machine Learning Model - and you fix it:

- How to check for concept drift

- How to use multivariate data drift techniques

- When to leverage univariate data drift techniques

- How to look for data quality issues

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August 8, 2024 3:00 PM

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Wojtek Kuberski

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The Open Source library for post deployment data science