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About the News category
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0
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26
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November 6, 2020
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COVID-19 Mobility Data
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0
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38
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November 25, 2020
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dbplyr 2.0.0 - tidyverse blog
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0
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99
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November 7, 2020
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Sparse data structures in tidymodels
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28
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November 25, 2020
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tune 0.1.2 - part 1
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0
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43
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November 23, 2020
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magrittr 2.0 is here!
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0
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79
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November 23, 2020
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October 2020: "Top 40" New CRAN Packages - R Views
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0
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63
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November 19, 2020
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How California Uses Shiny in Production to Fight COVID-19
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0
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36
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November 19, 2020
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Why Data Science in the Cloud? - RStudio Webinar
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0
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40
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November 18, 2020
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Why RStudio Focuses on Code-Based Data Science
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0
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45
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November 17, 2020
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RStudio 1.4 Preview: New Features in RStudio Server Pro
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0
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47
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November 16, 2020
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#BlackInDataWeek 2020
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0
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35
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November 16, 2020
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recipes 0.1.14 - tidymodels
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0
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66
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November 7, 2020
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readr 1.4.0 - tidyverse blog
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0
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128
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November 7, 2020
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waldo - tidyverse blog
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0
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68
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November 7, 2020
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testthat 3.0.0 - tidyverse blog
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0
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52
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November 7, 2020
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furrr 0.2.0 - tidyverse blog
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0
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89
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November 7, 2020
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ROC Day at BARUG
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36
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November 12, 2020
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Where Does RStudio Fit into Your Cloud Strategy?
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0
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57
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November 12, 2020
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sparklyr 1.3: Higher-order Functions, Avro and Custom Serializers
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0
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30
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November 11, 2020
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Time series prediction with FNN-LSTM
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0
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43
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November 11, 2020
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Parallelized sampling using exponential variates
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0
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30
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November 11, 2020
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State-of-the-art NLP models from R
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0
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45
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November 11, 2020
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FNN-VAE for noisy time series forecasting
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0
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47
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November 11, 2020
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R Weekly - 45 - 2020-11-09
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108
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November 9, 2020
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The Appsilon shiny.semantic PoContest
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0
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45
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November 10, 2020
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Help Delphi's COVIDcast Project fight the pandemic!
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0
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45
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November 7, 2020
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Using R to Drive Agility in Clinical Reporting: Questions and Answers
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0
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49
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November 6, 2020
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rstudio::global(2021)
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0
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49
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November 6, 2020
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Why RStudio Supports Python for Data Science
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0
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72
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November 6, 2020
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