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rstudio::conf(2022)

Adolfo

Poznan, Greater Poland District, Poland

My Friends

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

The R integration in Power BI: Why R developers should be Interested 1. Potomac C

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom

2:30pm EDT

Saving 1,000 hours with RStudio: selling R in your workplace 1. Potomac C

3:40pm EDT

Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11

4:30pm EDT

The Past and Future of Shiny 0. Potomac A+B

9:00am EDT

Hello Quarto: Share • Collaborate • Teach • Reimagine 0. Potomac A+B

10:30am EDT

Developing internal tools for multi-lingual teams 1. Potomac C

11:30am EDT

Running Shiny without a server 1. Potomac C

1:30pm EDT

A new way to build your Shiny app's UI 2. Potomac D

2:10pm EDT

You should be using renv 4. National Harbor 10+11

2:30pm EDT

Dashboard-Builder: Building Shiny Apps without writing any code 2. Potomac D

3:20pm EDT

Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

A Robust Framework for Automated Shiny App Testing 2. Potomac D

4:00pm EDT

An introduction to R7 4. National Harbor 10+11