Working With Data and Machine Learning in Advertising
from Talking Machines
In episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her work using machine learning in digital advertising and her approach to data in competitions. We take a look at information leakage in competitions after ImageNet Challenge this year. The New York Times covered the events, and Neil Lawrence has been writing thoughtfully about it and its impact. Plus, we take a listener question about trends in data size.
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How long is this episode of Talking Machines?
This episode is 39 minutes long.
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This episode was published on June 18, 2015.
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