When data leakage turns into a flood of trouble

When data leakage turns into a flood of trouble

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Episode
110 of 339
Duration
48min
Language
English
Format
Category
Non-fiction

Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.

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Featuring:

• Rajiv Shah – Website • , GitHub • , LinkedIn • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Rajiv Shah | University of Illinois at ChicagoRajiv Shah | DataRobot BlogDataRobot Something missing or broken? PRs welcome!


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