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An introductory hands-on workshop, aimed at the Amateur Data Scientists among us, to the Heritage Health Prize competition. First, we will quickly look at the classes of algorithms & what they do through competition problems & datasets. Next we will dig deeper into one completion the Kaggle RTA Challenge(Ensemble/Random Forest). We will then dive into the Heritage Health Prize, work through the dataset & submit an entry!
Note: While there is not enough time for the participants to work through the different datasets, we will provide links to a hands-on tutorial which you’all can do after the workshop.
Krishna Sankar is a Principal Architect/Data Scientist, with Tata Consultancy Services Digital Enterprise group. His focus includes Big Data, Analytics & AI. Earlier stints include Director of Engg & Data Science at a Bioinformatics startup, at Egnyte Inc as a Lead Architect for storage cloud and as a Distinguished Engineer at Cisco. Recently he was member of Industry Program Committee & Paper reviewer for KDD2013 & KDD2014. Krishna’s speaking engagements include pydata 2013 – Bayesian Machine Learning, OSCON – Social Media Analysis with Twitter (2012), Hitchhiker’s Guide to Kaggle (2011) & NOSQL (2010) and guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics – as Technical Judge in FLL world competitions.
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