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New York R Conference 2021

New York R Conference 2021

09 - September 10, 2021

Discover the 26 talks of this edition.

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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New York R Conference 2021