Tuesday, July 14, 2020
|
15:00
UTC
|
02:00
|
Dirk Eddelbuettel
|
Seamless R and C++ integration
with Rcpp
|
Tuesday, July 21, 2020
|
18:00
UTC
|
02:00
|
Sam Tyner
|
Creating
beautiful data visualizations in R: a ggplot2 crash course
|
Thursday, July 23, 2020
|
01:30
UTC
|
02:00
|
ZJ Dai
|
Easy
Larger-than-RAM data manipulation with disk.frame
|
Thursday, July 23, 2020
|
15:30
UTC
|
02:00
|
John Blischak, Peter Carbonetto
|
Create and share reproducible code with
R Markdown and workflowr
|
Friday, July 24, 2020
|
20:00
UTC
|
01:30
|
Julia Silge, Emil Hvitfeldt
|
Predictive
modeling with text using tidy data principles
|
Monday, July 27, 2020
|
14:00
UTC
|
03:00
|
Sebastien Rochette, Dorris Scott, Jakub Nowosad
|
First
steps in spatial data handling and visualization
|
Wednesday, July 29, 2020
|
16:00
UTC
|
02:00
|
Lucy D’Agostino McGowan, Malcom Barrett
|
Causal
inference in R
|
Friday, July 31, 2020
|
13:00
UTC
|
02:30
|
Colin Gillespie, Rhian Davies
|
Getting
the most out of Git
|
Tuesday, August 04, 2020
|
15:00
UTC
|
04:00
|
Will Landau
|
Reproducible
computation at scale with drake: hands-on practice with a machine
learning project
|
Friday, August 07, 2020
|
15:00
UTC
|
03:00
|
Bernd Bischl, Michel Lang
|
Machine
Learning with mlr3
|
Friday, August 07, 2020
|
16:00
UTC
|
02:30
|
Savin Goyal, Bryan Galvin, Jason Ge
|
End-to-end machine learning
with Metaflow: Going from prototype to production with Netflix’s open
source project for reproducible data science
|
Saturday, August 15, 2020
|
16:00
UTC
|
03:30
|
Connie Brett
|
Periscope
and CanvasXpress – Creating an enterprise-grade big-data visualization
application in a day
|
Saturday, September 19, 2020
|
16:00
UTC
|
03:00
|
Edzer Pebesma, Martijn Tennekes
|
Analyzing
and visualising spatial and spatiotemporal data cubes
|
Monday, September 21, 2020
|
15:00
UTC
|
02:00
|
Denise Scholtens, Raji Balasubramanian
|
Application
of Gaussian graphical models to metabolomics
|
TBD
|
TBD
|
NA
|
Shirin Elsinghorst
|
Deep Learning with Keras and TensorFlow
|