You can replicate almost any plot in #rstats.
— Rafael Irizarry (@rafalab) August 29, 2019
This @simplystats blog post shows five examples using #ggplot2. https://t.co/Y39wfI9rg3
You can replicate almost any plot in #rstats.
— Rafael Irizarry (@rafalab) August 29, 2019
This @simplystats blog post shows five examples using #ggplot2. https://t.co/Y39wfI9rg3
This podcast on @fb_engineering culture is really worth listening to: https://t.co/zhI63F1znw - However hearing @KentBeck say that unit testing was not worth it there was shocking to me. Also, TLDr; on the 3X model here: https://t.co/nII1WbuGZS
— Xavier 🎗️ (@xamat) August 28, 2019
Repo(s) for my @UBC JupyterDay talk on using @ProjectJupyter extension RISE for slides and @mybinderteam Binder service for sharing notebooks for teaching #DataScience: https://t.co/5l3uboi5g1#jupyter #python #rstats
— Tiffany Timbers (@TiffanyTimbers) August 27, 2019
The excellent interactive book "Dive into Deep Learning" has been ported to PyTorch by students at IIT Roorkeehttps://t.co/6gt457L4oq
— PyTorch (@PyTorch) August 27, 2019
The book was authored by @astonzhangAZ, @zacharylipton @mli65 et. al. https://t.co/NQRcbbeO0G
Targeted Dropout - Finding efficient subnetworks in over-parameterized models
— Mike Tamir, PhD (@MikeTamir) August 27, 2019
https://t.co/t6BzPVSV7r #AI #DeepLearning #MachineLearning #DataScience pic.twitter.com/Lh7nwy0su3
HTTP/2 pic.twitter.com/9j5PQn2By7
— 🔎Julia Evans🔍 (@b0rk) August 25, 2019
This paper is not long, and very easy to read... so I definitely recommend it.
— Ian Osband (@IanOsband) August 25, 2019
The combination of:
1) Simple and targeted experiments
2) Sane and sensible writing
3) Excellent figures
Helps to provide a lot of insight to #DeepLearning - more please! pic.twitter.com/MvG4NYRJFs
I agree. This was a phenomenal paper. I’m hoping it will inspire researchers to probe further. https://t.co/sea9atR0Qy
— Nando de Freitas (@NandoDF) August 24, 2019
Watch "Solving the model representation problem with broom" with Alex Hayes from rstudio::conf(2019)
— RStudio (@rstudio) August 24, 2019
🎦 https://t.co/6axMVfJ1Ab
Learn more about and register for rstudio::conf(2020) in San Francisco at https://t.co/rYJqkzCywm #rstats #DataScience
This analysis uses a straightforward @mcmc_stan model, implemented in #rstats with brms and #tidybayes.
— Julia Silge (@juliasilge) August 22, 2019
Will I become a Bayesian?!?!????? 🤔https://t.co/smlixbT37U
DBSCAN https://t.co/eZ2bbpDzwV pic.twitter.com/snjBaDALsq
— Chris Albon (@chrisalbon) August 22, 2019
Probably the best GANs tutorial I've seen - written by @devnag
— Andrew Trask (@iamtrask) August 22, 2019
The best tutorials strip away all the complexity into the simplest example possible.
That's what I like about this #tutorial... "50 lines of PyTorch"#100DaysOfMLCode #100DaysOfCodehttps://t.co/5HD6zooucD pic.twitter.com/7mKDJeknpa