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Active Learning with Bayesian Nonnegative Matrix Factorization...

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Speaker: Gönül Aycı

Track:PyData In most of the systems, collecting data is not always free. I will talk about an approach for a matrix completion problem that learns a distribution of data where information is incomplete or collecting it has a cost.

Recorded at the PyConDE & PyData Berlin 2019 conference. https://pycon.de

More details at the conference page: https://de.pycon.org/program/ZBEEM3 Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde

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