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#47 - Active learning for anomaly detection. How to decrease the manual time annotating the data. episode artwork

EPISODE · Apr 21, 2022 · 13 MIN

#47 - Active learning for anomaly detection. How to decrease the manual time annotating the data.

from Life with AI · host Filipe Lauar

Hey guys, in this episode I talk about the use of active learning for anomaly detection. In an anomaly detection scenario, most of the time we don't have a labeled dataset, so we have the help of an expert to annotate it. Using active learning we can hugely decrease the amount of the data to be annotated by the expert, making the job much more efficient. Instagram: https://www.instagram.com/podcast.lifewithai/ Linkedin: https://www.linkedin.com/company/life-with-ai

What this episode covers

Hey guys, in this episode I talk about the use of active learning for anomaly detection. In an anomaly detection scenario, most of the time we don't have a labeled dataset, so we have the help of an expert to annotate it. Using active learning we can hugely decrease the amount of the data to be annotated by the expert, making the job much more efficient. Instagram: https://www.instagram.com/podcast.lifewithai/ Linkedin: https://www.linkedin.com/company/life-with-ai

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#47 - Active learning for anomaly detection. How to decrease the manual time annotating the data.

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How long is this episode of Life with AI?

This episode is 13 minutes long.

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This episode was published on April 21, 2022.

What is this episode about?

Hey guys, in this episode I talk about the use of active learning for anomaly detection. In an anomaly detection scenario, most of the time we don't have a labeled dataset, so we have the help of an expert to annotate it. Using active learning we...

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