Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Harnessing Active Learning in Enterprises
This chapter explores the challenges enterprises face with leveraging unlabelled data for machine learning and introduces active learning as a solution. It emphasizes how active learning can optimize the use of limited labeled data, enhancing model performance while minimizing the reliance on costly manual labeling processes.
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