Speaker

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Mateusz Fedoryszak

University of Warsaw, Interdisciplinary Centre for Mathematical and Computational Modelling

A Data Scientist from the University of Warsaw who loves binding research and great engineering craftsmanship. Specialises in scalable text and data mining with a focus on entity matching. Before joining the university, got a taste of big data at Microsoft and True Knowledge (now Amazon subsidiary). Currently uses Spark and R to predict how much milk would a cow give on a particular day basing on historical records. Enjoys snowboarding, loves Latin phrases.

Sessions

Sparkling Random Ferns: From an academic paper to spark-packages.org

In this presentation we would like to present a new machine learning algorithm, Random Ferns, and the way it went from an initial publication in a scholarly paper to a fully functional and reusable Spark…