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023 Self- and Semi-Supervised Learning - Learning from Imperfect Data

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Manage episode 513530829 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

How can an AI learn to read a medical scan without a perfect, expert-labeled dataset? In the real world, data is messy. This episode dives into three ingenious techniques (semi-supervised, self-supervised, and weak supervision) that allow AI to learn from a little bit of expert guidance, teach itself from unlabeled data, or make sense of noisy, imprecise information.

#HealthAI #MedicalAI #SemiSupervisedLearning #SelfSupervisedLearning #WeakSupervision #MachineLearning #DataScience #DigitalHealth #ai in medicine Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 513530829 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

How can an AI learn to read a medical scan without a perfect, expert-labeled dataset? In the real world, data is messy. This episode dives into three ingenious techniques (semi-supervised, self-supervised, and weak supervision) that allow AI to learn from a little bit of expert guidance, teach itself from unlabeled data, or make sense of noisy, imprecise information.

#HealthAI #MedicalAI #SemiSupervisedLearning #SelfSupervisedLearning #WeakSupervision #MachineLearning #DataScience #DigitalHealth #ai in medicine Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

43 episodes

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