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023 Self- and Semi-Supervised Learning - Learning from Imperfect Data
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
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By Stephen AugerHow 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