The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
22 Apr 2019
Today we’re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. Shioulin and I caught up to discuss the newest report to come out of CFFL, “Learning with Limited Label Data,” which explores active learning as a means to build applications requiring only a relatively small set of labeled data. We start our conversation with a review of active learning and some of the reasons why it’s recently become an interesting technology for folks building systems based on deep learning
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