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    Megan Robertson - Creating Production Level Data Science Code


    Jeroen Janssens - Set your R code free; turn it into a command-line tool


    Danielle Oberdier - How to Write Engaging R Tutorials


    Alexa Fredston - R for the Planet


    Jared Lander - GPU Computing in R


    Daniel Chen - Learner Personas for Domain-Specific Data Science Educational Materials


    Caitlin Hudon - Impacting Churn with Data


    Mike Band - Go or Kick? Enhancing the NFL Fan Experience with Real-Time 4th Down Decision Analytics


    Asmae Toumi - 1 team, 1 dream, 1 ggplot2 color scheme: group strangers won the NFL Big Data Bowl


    Reenah Nahum Muldavski - AB Testing of Data Science Solutions


    Adam Chekroud - Personalizing Mental Healthcare at Scale


    Sarah Catanzaro - Against Machine Learning; For Causal Inference


    Rachael Tatman - 5 mistakes you'll probably make with language data (and how to recover)


    Jonathan Bratt - {morphemepiece}: more meaningful tokenization for NLP


    COL Krista Watts - Using Data to Make Classroom Decisions


    Sonia Ang - Responsible AI and Ethics and Beyond: A principled approach from Microsoft


    Chrys Wu - Why the world loves K-pop


    Max Kuhn - The Global Pandemic Ruined My Favorite Data Set


    Wes McKinney - New Directions for Apache Arrow


    David Robinson - dbcooper: Turn any database into an R package


    Andrew Gelman - Wrong Again! 30+ Years of Statistical Mistakes


    Jonathan Hersh - Does Interpretable Machine Learning *Really* Matter?


    Mayari Montes de Oca - Addressing missing data in R


    Bernardo Lares & Igor Skokan - Project Robyn 3.0 Marketing Mix Model from Facebook Marketing Science


    Dusty Turner - 9/11 Tribute


    SDS 511: Data Science for Private Investing — LIVE with Drew Conway


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