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