PyData New York City 2017

Slides: https://github.com/therriault/slides/blob/master/Learning%20in%20Cycles_%20Implementing%20Sustainable%20Machine%20Learning%20Models%20in%20Production%20-%20November%202017.pdf

Sustainable machine learning models are built for cyclical applications which generate their own training data—think ad targeting, recommendation engines, compliance audits, or fundraising. We’ll discuss practical approaches and considerations for data scientists, analysts, and engineers working on these kinds of models in the wild. 00:00 Welcome!
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