🎁 Day 23 #rstats #devAdvent
— Mara Averick (@dataandme) December 23, 2018
👋 Sean Kross (@seankross)
📒 Mastering Software Devp't in R (w/ @rdpeng & @GillianA)
🧰 Unix Workbench
🌀 Team @swirlstats
🐳 Dangerous Docker
🎤 Official tidyverse lyricisthttps://t.co/1SqJpqFEsq (and so much MOAR) pic.twitter.com/UJEoJ2fKJS
My @quora answer to What were the most significant machine learning/AI advances in 2018? https://t.co/3O9v2dyk4E
— Xavier🎗🤖🏃 (@xamat) December 23, 2018
A Practical Guide to Adopting Python Types by Roy Williams. https://t.co/ra6pNCD9E4. This talk will go over the basics of types in Python, the current ecosystem & then go into detail on how teams can quickly type large chunks of their codebase using pyannotate.
— Python Software (@ThePSF) December 22, 2018
New lobstr package now on CRAN: https://t.co/Ixoe9SmsD5 — it helps you dig into the internals of R objects to better understand the language #rstats #🦀
— Hadley Wickham (@hadleywickham) December 21, 2018
🎁 Day 20 #rstats #devAdvent
— Mara Averick (@dataandme) December 20, 2018
👋 Evelina Gabasova (@evelgab) https://t.co/ikkB2bdtW3
⚖️ At @turinginst works on making algorithmic systems fair, transparent, and ethical
🌌 At @rstatsnyc shares her *important* research https://t.co/p1z9QhGfsP pic.twitter.com/tHCHAoFrA6
My slides for the #NeurIPS2018 Meta-Learning are now up. Big thanks to the organisers! https://t.co/FcUBcDTygo
— Nando de Freitas (@NandoDF) December 20, 2018
When we are communicating to a general audience, it is more important to emphasize the why, rather than the how. @alfcnz made a presentation about how to prepare an effective technical presentation that discusses this in more detail: https://t.co/rpxM0Wc9hL
— hardmaru (@hardmaru) December 20, 2018
Our favorite research, talks, art and other stuff from 2018 https://t.co/HFJX0DAqQl
— Fast Forward Labs (@FastForwardLabs) December 18, 2018
videos of #NeurIPS2018 invited talks: https://t.co/YDBAKS02bd
— Rachel Thomas (@math_rachel) December 17, 2018
videos of more sessions here: https://t.co/1dXt7m1bAC
h/t @seb_ruder pic.twitter.com/PazXvhpjtF
A Concise Handbook of TensorFlow (https://t.co/Xwclyvvc1h)
— ML Review (@ml_review) December 17, 2018
By @snowkylin
Online book for those who already knows ML/DL theories and want to focus on learning TensorFlow itselfhttps://t.co/j0aTnfSj7r pic.twitter.com/jqQgTvk389
I’ve been working on a “getting started” article for gganimate. Not completely done, but if you have lacked this sort of guide I’d appreciate comments on the current form https://t.co/jTxOFDfxfx
— Thomas Lin Pedersen (@thomasp85) December 17, 2018
The International Conference on Probabilistic Programming
— ML Review (@ml_review) December 16, 2018
Talks from the #PROBPROG 2018 Conference, held at the MIT Media Lab in Cambridgehttps://t.co/kstWPLMiQF pic.twitter.com/yLM2uhhtY0
