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    NYC R Conference 2019 Highlights


    Ludmila Janda - Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks


    Mike Band - The Football Analytics Tipping Point: How Player Tracking Technology is Changing the NFL


    Emily Dodwell - From Tangled Lassos to Boosted Trees: Iterative Research in Practice


    Emily Robinson - Everything You Wanted to Know About Making R Packages but Were Afraid to Ask


    Jared P. Lander - R: Then and Now


    Dan Chen - Building Reproducible and Replicable Projects


    Krista Watts - Using Statistical Methods to Estimate Coefficients in Allometric Models


    Andrew Gelman - Solve All Your Statistics Problems Using P-Values


    Wes McKinney - Apache Arrow: Leveling Up the Data Science Stack


    Michelle Gill - Artificial Intelligence Driven Drug Discovery


    David Madigan - Towards systematic evidence generation from real-world healthcare data


    Adam Chekroud - Personalizing mental healthcare at scale


    Jacqueline Nolis - Deep learning isn’t Hard, I Promise


    Gabriela Hempfling - I’ll Have What She’s Having (and Other Models of Consumer Behavior)


    Heather Nolis - Rn’t u glad u put R in prod


    Namita Nandakumar - Hockey Analysis in R: Public and Private Perspectives


    Elizabeth Sweeney - Neuroimaging Analysis in R


    Jim Savage - #ABYLFOYPE - Always Be Integrating Your Loss Function Over Your Posterior Estimate


    Noam Ross - Reproducibility in an Office World: Tools for Crossing the Abyss


    Soumya Kalra - Becoming a better finance practitioner


    Max Kuhn - parsnip: a tidy interface for models


    Brooke Watson - Using R to defend immigrant's rights at the ACLU


    Amanda Dobbyn - This Talk is on Fire: Using Twitter and Google to Track Fires in NYC


    Letisha Smith - Cooking Up Statistics: The Science & The Art


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