An online webinar sponsored by Research Cyberinfrastructure at DoIT
Wednesday, September 4th, 2024, 1pm to 3pm
Intro to Shiny Apps – R Focus
The first of installment of the Fall 2024 Posit Days
Posit’s Ryan Johnson will review the basics of a Shiny App using the R programming Language. Next month, Posit Day will focus on Shiny Apps using Python.
During the Researcher Spotlight, our guest, Elissa Chassen, PhD, will talk about how they use data science tool to further their research.
Wednesday, September 4th, 2024 from 1 pm to 3 pm
An online webinar sponsored by Research Cyberinfrastructure at DoIT
Wednesday, January 17, 2024, 9am to 5pm
Research Cyberinfrastructure’s Data Science Platform is happy to host our first-ever Posit Day.
We will host several speakers, who will be covering topics such as:
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- Why is open-source software so important and why we should support open-source initiatives?
- A walkthrough of Workbench and Connect, the two main services offered by the Data Science Platform.
- A talk about Python users and how Posit supports it.
- For the data science modelers, an intro to Vetiver, a framework for MLOps
- UW–Madison’s Sri Aravamuthan’s talk about his work with the Dermatology Department.
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Schedule for Posit Day
- 9 – 9:10 am – Opening Remarks
- 9:10 – 9:40 am – Posit and Open Source Software
- 10 – 11 am – Posit Team Demo
- 11:30 am – 12:30 pm – DSI COVID-19 Research Group at the university using the Data Science Platform.
- 2 – 3:30 pm – Intro to Python and Posit
- 3:30 – 4:14 pm – MLOps with Vetiver
- 4:30 pm– Closing Remarks
Past events
An online webinar sponsored by Research Cyberinfrastructure at DoIT
Online: https://uwmadison.zoom.us/j/92887326658
Watch Party: Computer Science 3139 A-B-C
Monday, November 20, 2023, 3:30 pm
Why you should be using “tidymodels”
Modeling and machine learning in R involve a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems. In this webinar, Simon will cover six concrete reasons to consider using tidymodels. Along the way, he’ll demo the framework through an applied modeling problem and share resources to help move you forward in your modeling journey, whether you’re just now starting your machine learning journey or an experienced modeler.
Our speaker for the event
Simon P. Couch is a software engineer at Posit PBC where he works on tidymodels, a collection of free and open-source R packages for statistical modeling. With an academic background in statistics and sociology, Simon believes that principled tooling has a profound impact on our ability to think intuitively and rigorously about data science. He authors and maintains a number of R packages— including the broom package for unifying model object summaries and the stacks package for model ensembling which received the 2021 John M. Chambers Statistical Software Award—and blogs at simonpcouch.com.