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    Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}


    Dr. Adam Obeng - Adaptive Experimentation


    Ludmila Janda - Using R to Better Understand R-Ladies NYC


    Emily Robinson - {funneljoin}: Defining a Tidy Grammar on Funnels in R


    Jared P. Lander - Finding the Tallest Tree: Comparing Decision Tree, Random Forest & Boosted Tree


    Dan Chen - Grading Code with gradethis


    Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch


    Andrew Gelman - Truly Open Science: From Design and Data Collection to Analysis and Decision Making


    David Smith - MLOps with R: An End-to-End Process for Building Machine Learning Applications


    Laura Gabrysiak - Re-Inventing Customer Engagement with Machine Learning


    Brooke Watson Madubuonwu - Modeling COVID-19 Spread in Jails and Communities, in R


    Dr. Sebastian Teran Hidalgo - Doubly Robust Estimation of Causal Effects in R


    Catherine Zhou - Why NYR? Finding You(R) Community


    Dr. Jacqueline Nolis - What I Learned from Porting my Viral Website from .NET to {shiny}


    Sonia Ang - Automated Machine Learning


    Emily Dodwell - All the World’s A Stage: Elements for Vis of Multivariate Spatiotemporal Data in R


    Jonah Gabry - A New Way to Interface with Stan from R


    Wes McKinney and Dr. Neal Richardson - Speeding Up Data Access in R with Apache Arrow


    Dr. Thomas Mock - Higher, Further, Faster with Marvelous RMarkdown


    David Robinson - The {widyr} Package


    Dr. Max Kuhn - Resampling, Repeated Measures Designs, and You


    Dr. Erin LeDell - Scalable Automatic Machine Learning in R


    Monica Thieu - How to Prepare and Teach an R Lesson


    Camelia Hssaine - What to do When You Can't A/B test: Exploring Different Causal Inference Methods


    BONUS TALK | Heather Nolis - Speech: The Other, Other NLP


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