Jennifer Prendki is one of the foremost experts in the world on the cutting edge topic of active learning. In this discussion we dived into what active learning is, how it’s different than other techniques like online learning, and some of the real-world challenges Jennifer has seen in companies who are currently applying active learning principles. We also discussrf some fascinating similarities between active learning and modern, iterative software development processes. If you’re tired of brittle ML systems, and want to see more speed of iteration across your ML pipeline and workflows, you’ll come away with valuable insights on these topics and more.
0:00 Introducing Jennifer Prendki
03:53 Jennifer’s background & Active Learning
07:01 Understanding Active Learning and its benefits
16:45 Jennifer's motivation to start Alectio
20:30 Active Learning and unlocking fast data iteration
30:30 Challenges with Active Learning
41:10 Successful Active Learning use cases
50:00 Jennifer's learning and advice for viewers
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About DC_THURS:
DC_THURS is a series of live online interviews with leading data professionals, with a special focus on open source contributors and startups. Each conversation is led by Pete Soderling, founder of Data Council ( datacouncil.ai/) & Data Community Fund ( dcf1.vc/). While replays are available, live attendees get a unique chance to have their questions answered by our guest - so if you can, make sure to join us live on Thursdays at 9:30am PT! Subscribe to our channel to be notified about upcoming episodes. For past episodes, check out the DC_THURS playlist: youtube.com/playlist?list=PLAesBe-zAQmHRsPAHvfx9_lffWPrl3icC
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#machinelearning
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