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Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
English - April 22, 2019 22:11 - 44 minutes - ★★★★★ - 323 ratingsTechnology News Tech News machinelearning artificialintelligence datascience samcharrington tech technology thetwimlaipocast thisweekinmachinelearning twiml twimlaipodcast Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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