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New York R Conference
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New York R Conference 2019
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NYC R Conference 2019 Highlights
Talks
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
NYC R Conference 2019 Highlights
May 10, 2019