What's New and Upcoming with tidymodels

Dec 2, 2021 · New York, United States of America

Max Kuhn returns again to tell us about new happenings in tidymodels.

This meetup is the runup to the 2021 Government & Public Sector R Conference and Workshops taking place virtually December 8-10. Members of the group can use code nyhackr for a 20% discount at https://rstats.ai/gov/.

Thank you to EcoHealth Alliance for providing the Zoom link.

Conversations during the meetup are encouraged in the monthly-meetup-chat channel in the nyhackr slack: https://nyhackr.org/slack.html

About the Talk:
The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. We've been working hard to add new features and fix bugs. I'll talk about censored regression, model deployment, case weights, and other features in progress. Additionally, the results from this year's user poll will be shown.

About Max:
Max Kuhn is a software engineer at RStudio. He is currently working on improving R's modeling capabilities. He was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. Max is the author of numerous R packages for techniques in machine learning and reproducible research. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. Their second book, Feature Engineering and Selection, was published in 2019.

The talk will begin at 7 PM America/New_York and we will start admitting people to the event shortly before. Since this is completely remote there will be no pizza but everyone is encouraged to have pizza individually.

Event organizers
  • New York Open Statistical Programming Meetup

    Meet with other users of the open-source programming language R. Previously, this meetup focused only on the R language, but is now focused on all open-source data analysis tools; including but not limited to, Python, Julia, C++, Stan, etc. Learn and share tricks and techniques from and with other users. Beginners to advanced users are all welcome.

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