🙌 This is a great, quick tour through diff. statistical methods:
— Mara Averick (@dataandme) January 30, 2019
"Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups" 👨💻 @andrewheiss https://t.co/6BcZ4HK7WW #rstats #rstan pic.twitter.com/7xO9KHRj3Q
Have you ever wanted to see seven different Bayesian and frequentist ways to measure the avg difference between two groups? Check out my new post to see examples of standard #rstats t-tests, the infer package, brms regression, and raw @mcmc_stan code! https://t.co/U2sjL9nt6b pic.twitter.com/OgK1zsQXiY
— Andrew Heiss, PhD (@andrewheiss) January 29, 2019
Scipy lecture notes now available under https:https://t.co/4Ktp0r4yG2
— Gael Varoquaux (@GaelVaroquaux) January 29, 2019
A book to learn to master the Python numerical stack
Secure and faster (benefits from CDN). Thanks to @pdebuyl and @westurner pic.twitter.com/hW4BASFLHK
This is a cool Colaboratory notebook that shows how you can apply ML and NLP to the content of your own @feedly feeds.https://t.co/9RTmkiF539 pic.twitter.com/HqebWvl0AE
— Sebastian Ruder (@seb_ruder) January 28, 2019
Want to be more creative? Try a spot of slow-motion multitasking. My new @TEDTalks talk: https://t.co/kC5MUwkGpb
— Tim Harford (@TimHarford) January 28, 2019
The lecture videos for the first week of Berkeley STAT-157 (Introduction to Deep Learning) are up. Check out the playlist https://t.co/9Kn6JzCmUQ if you can't come in person.
— Alex Smola (@smolix) January 27, 2019
ICYMI, 📣 Updated edition…
— Mara Averick (@dataandme) January 26, 2019
📄 "Data transformation w/ data.table cheat sheet" by Erik Petrovskihttps://t.co/1Iw0HT0WJO #rstats #rdatatable pic.twitter.com/RxokRnL1MK
Loving @JennyBryan's opening to her talk...
— Mara Averick (@dataandme) January 26, 2019
💬 "What is tidy evaluation? Is it going to kill you or us?"
🎥 "Lazy evaluation"https://t.co/CoglMX42f2 #rstats #rstudioconf
What a great #rstudioconf talk by @earowang!
— Emi Tanaka 🌾 (@statsgen) January 25, 2019
🕰️ Melt the time: Tidy time series analysis
📹 https://t.co/h6KAIhRBAO
🔗 https://t.co/SJGOJdTXzK
📦 `tsibble` + `fable` #rstats packages for tidy time series analysis pic.twitter.com/5DI44AJ73r
My talk at #rstudioconf about visualizing uncertainty is now online.https://t.co/xNDnfLPTim
— Claus Wilke (@ClausWilke) January 25, 2019
In this week's #tidytuesday screencast, I analyze incarceration data over time. I show how to make animated choropleths on a county level, and how to examine and deal with missing data https://t.co/nROf2agKcO #rstats pic.twitter.com/UAnwsbdSoq
— David Robinson (@drob) January 25, 2019
After a short & productive winter break, seems like the new semester is back in full swing! "In old tradition" I am going to share the lecture materials for the deep learning course I am teaching this semester on GitHub in hope they are generally useful! https://t.co/uGSbBAPdRH
— Sebastian Raschka (@rasbt) January 25, 2019
