Past Meetup

Data Science for Random Forests: TIBCO Enterprise Runtime for R

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Get A Final Preview of National Data Science Organizers Workshop (http://www.nationalprioritychallenge.org/) on November 5-6, 2015, and the Focus on National Data Science Challenges and Hackathons. Also Learn About Two Popular Tools (Random Forests and R) That Are Widely Used

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• 6:30 p.m. Welcome and Introduction (New Tutorial and Mentoring) Start with Video: Learning Path: Data Science with R (https://player.oreilly.com/videos/9781491940303?toc_id=220077) then see Kaggle Competition: How Much Did It Rain? II (http://semanticommunity.info/Data_Science/Data_Science_for_Random_Forests) using Spotfire instead of R! See Slides (http://semanticommunity.info/@api/deki/files/35935/BrandNiemann11022015A.pptx) and Slides (http://semanticommunity.info/%40api/deki/files/35634/BrandNiemann11022015.pptx?origin=mt-web) for Data Science for Random (http://semanticommunity.info/Data_Science/Data_Science_for_Random_Forests) Forests (http://semanticommunity.info/Data_Science/Data_Science_for_Random_Forests)

• Recent Addition: Data (http://semanticommunity.info/Data_Science/Data_Science_for_Six_World_Series-Time_Series_Analysis_and_Forecasting) Science for Six World Series-Time Series Analysis and Forecasting (http://semanticommunity.info/Data_Science/Data_Science_for_Six_World_Series-Time_Series_Analysis_and_Forecasting)

• Also see new Data Science Data Publication: Homelessness in Metropolitan Washington (http://semanticommunity.info/Data_Science/Data_Science_for_Homeless_Data/Homelessness_in_Metropolitan_Washington) for Data Science for Homeless Data (http://semanticommunity.info/Data_Science/Data_Science_for_Homeless_Data) Bakeoff Part II on November 4th (to be rescheduled)

• 7:15 p.m. Brief Member Introductions

• 7:30 p.m. Invited Presentation Ujval Kamath (https://www.linkedin.com/pub/ujval-kamath/27/292/b9) (TIBCO Data Science Team Member for Louis Bajuk-Yorgan, TIBCO Spotfire Senior Director, Project Management) Slides (http://semanticommunity.info/Data_Science/Data_Science_for_Random_Forests)

• 8:30 p.m. Open Discussion

• 8:45 p.m. Networking

• 9:00 p.m. Depart