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Video
Feedback at scale
As enrollments in statistics and data science courses grow and as these courses become...
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Fairness and Data Science: Failures, Factors, and Futures
In recent years, numerous highly publicized failures in data science have made evident that...
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Empowering Data Scientists to Build Spectacular Shiny Apps
In this talk, Appsilon's CEO and CTO show their vision of challenges facing Shiny...
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Easy larger-than-RAM data manipulation with {disk.frame}
Learn how to handle 100GBs of data with ease using {disk.frame} - the larger-than-RAM-data...
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Designing Randomized Studies using Shiny
This talk will walk through building a self-contained randomized study using Shiny and learnr...
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Custom theming in Shiny & R Markdown with bslib & thematic
Custom theming in Shiny and R Markdown often requires writing styling rules in both...
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Cognitive speed: How the Tidyverse helped the British Red Cross respon...
We will discuss the importance of cognitive speed, defined here as the rate in...
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Categorical Embeddings: New Ways to Simplify Complex Data
Categorical embeddings are a relatively new method, utilizing methods popularized in Natural Language Processing...
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Bringing the Tidyverse to Python with Siuba
Last January I left my job to spend a year developing siuba, a python...