Podknife - When data leakage turns into a flood of trouble (Practical AI #109) by Changelog Master Feed

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When data leakage turns into a flood of trouble (Practical AI #109)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Technology
Publication Date |: Oct 20, 2020
Episode Duration |: 00:48:27

Description
Content Encoded

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.

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 – Twitter, GitHub, LinkedIn, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? ai-109.md">PRs welcome!

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