I made a YT playlist on #rstats package development: https://t.co/7Crx2LFWt7
— John Muschelli (@StrictlyStat) June 25, 2018
Includes unit testing, continuous integration, the usethis, covr, and devtools packages from @rstudio and others.
I made a YT playlist on #rstats package development: https://t.co/7Crx2LFWt7
— John Muschelli (@StrictlyStat) June 25, 2018
Includes unit testing, continuous integration, the usethis, covr, and devtools packages from @rstudio and others.
😻 w/ R code!
— Mara Averick (@dataandme) June 25, 2018
“Recreating (more) data visualizations from [ @davidmccandless'] ‘Knowledge is Beautiful” ✍️ @MattOldachhttps://t.co/gIk8ObOvFA #rstats #dataviz pic.twitter.com/z1AnrqxnaV
I just published a tutorial on how to train a LSTM network with @HelloPaperspace and sample the resulting model in @ml5js. More tutorials soon! (hint: style transfer and pix2pix)https://t.co/PecQBb51EC
— Cris Valenzuela (@c_valenzuelab) June 25, 2018
tableGrob()/grid.table() in gridExtra is a phenomenal way to add summary stats to ggplot-based plots in #rstats. It's super easy to do, too, with annotation_custom() pic.twitter.com/Jqk5rEjZiq
— Andrew Heiss (@andrewheiss) June 25, 2018
Deep learning for time series forecasting: Predicting sunspot frequency with Keras: https://t.co/qC7fXFp7wR #rstats #rkeras pic.twitter.com/k1z3vI8wOu
— RStudio (@rstudio) June 25, 2018
"On Intrinsic Rewards & Continual Learning," Satinder Singh: https://t.co/HB4eEyHyTb
— Miles Brundage (@Miles_Brundage) June 25, 2018
ICYMI, 📕 import ⇨ analyze:
— Mara Averick (@dataandme) June 25, 2018
"Data Manipulation in R" 👩💻 @TheStephLockehttps://t.co/sP8MKzbmin #rstats #tidyverse (feat. @LVaudor's 😍 visuals) pic.twitter.com/Ix6jnRwsLS
New blog post: Kaggle’s Yelp Restaurant Photo Classification Competition, https://t.co/px5xDfQire Style: Part 1 https://t.co/Wz6sth1Dpd
— Nick Johnson (@HarveyNick) June 24, 2018
Sharing my notes from CVPR 2018 - Day 1 https://t.co/5zgonAkiqE
— erika menezes (@erikadmenezes) June 24, 2018
My Do More With R series of short screencasts so far:
— Sharon Machlis (@sharon000) June 23, 2018
* Interactive scatter plots
* dplyr's case_when
* test code with testthat
* easy #rstats dashboards
* @RStudio code snippetshttps://t.co/Ex2LlfjNwF#R4DS pic.twitter.com/wzNxW6m7X4
This post about missing values in #julia gives a good overview of the “software engineer’s null” vs. the “data scientist’s null” and why it matters. ht @clarkfitzg https://t.co/AeDqym7Z6R
— Jenny Bryan (@JennyBryan) June 23, 2018
A nice review article on recent advances in variational inference (C. Zhang, J. Butepage, H. Kjellstrom, S. Mandt): https://t.co/SLVVPAmchE #MachineLearning
— Diana Cai (@dianarycai) June 23, 2018