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[D] How big of a problem is acquiring labeled data?

Currently working as a machine learning intern at a well-known tech company in the Bay Area. A huge problem we have is acquiring labeled data. We simply don’t have the time or resources to go through tens of thousands of pieces of data and label them individually. Currently, we employ a sort of semi-supervised learning to get this done. As I look forward in my career and to other places, I was wondering… is this a problem that anyone else faces? How big of a problem is this?

submitted by /u/Rtzon
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.