Daniel Samarov

Daniel Samarov

Daniel has a background in Machine Learning, Statistics and Data Science and how these are applied to imaging, recommender systems, digital advertising/marketing, and biological and physical sciences. He has over 30 peer reviewed publications in academic journals and is based in Washington D.C.

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