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Commit 8762bc3

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some more small changes to the abstract
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‎doc/abstract_meetup_shiny.Md‎

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@@ -17,7 +17,7 @@ We would like to introduce Shiny to you using the following topics:
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2. How Shiny works, from code to browser
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3. How to deploy your R Shiny project with Docker
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4. Our Shiny project [traffic dynamics](https://traffics.codeformuenster.org)
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5. Validating Bayesian and frequentist models with Shiny plots
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5. Plotting results of Bayesian and frequentist models within Shiny
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6. Group discussion: what else to present with Shiny?
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You will not have to bring much previous knowledge to our talk.
@@ -37,8 +37,8 @@ We meet each Tuesday at 18:30 at the Dreiklang bar to make our city a better pla
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Thomas Kluth has studied Computer Science in Münster and Bremen.
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During his currently ongoing (close-to-be-finished) Linguistics PhD in Bielefeld, he models human cognitive behavior.
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Using computational cognitive models, he aims to link spatial language use with perceptual mechanisms such as visual attention.
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The statistical analysis of empirical data convinced him to use R and Bayesian modeling to explain almost everything.
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For instance traffic data.
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The statistical analysis of empirical data convinced him to use R and Bayesian modeling to explain almost everything.
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He is looking forward to applying his skill set to real-world domains for creating a sustainable future.
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Thorben Jensen has studied, designed, and implemented predictive models since more than 10 years.
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After studying modeling and computer science in 5 countries, he graduated from the PhD program at Delft University of Technology.

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