Thanks for posting @CaroPetitjean!
— Oriol Vinyals (@OriolVinyalsML) April 15, 2021
Here are the slides: https://t.co/RwWqFnZset https://t.co/jb8wNTSWTL pic.twitter.com/hQxZDKh5RG
Thanks for posting @CaroPetitjean!
— Oriol Vinyals (@OriolVinyalsML) April 15, 2021
Here are the slides: https://t.co/RwWqFnZset https://t.co/jb8wNTSWTL pic.twitter.com/hQxZDKh5RG
Serious data question: how do companies deal with dashboard rot? Everywhere I've worked, 95% of all dashboards are half-broken or not trustworthy because no one has touched them for 6+ months. Are dashboards inherently ephemeral?
— Erik Bernhardsson (@fulhack) April 15, 2021
Slides on redundant coding.https://t.co/miqrLROikZ#rstats #dataviz pic.twitter.com/m1H34F2Zuk
— Claus Wilke (@ClausWilke) April 14, 2021
Another example of the stupid trend in the US where totally non-political issues end up being highly politicized. Chart compares vaccine administration rate with the 2020 presidential election results. Source: https://t.co/jmoWhhrH3B pic.twitter.com/IEgTnI4rBU
— Simon Kuestenmacher (@simongerman600) April 14, 2021
The @scikit_learn team at @sklearn_inria has created a MOOC for getting started with scikit-learn! Go check it out! https://t.co/BUbDArJJDU
— Andreas Mueller (@amuellerml) April 14, 2021
You can leave feedback and suggestions (or make PRs) on the repo here: https://t.co/RCMWxqGWb2
+1. here's my ML consultancy for last few years.
— mat kelcey (@mat_kelcey) April 13, 2021
domain expert: we need ML to replace business rules
me: where is your eval?
DE: we don't do that
me: let's do that first
...
DE: oh! we can now see how we can improve by just reframing our question!
me: awesome, see you in a year.
I just finished giving my keynote at Nvidia GTC'21.
— Yann LeCun (@ylecun) April 13, 2021
Slides are here: https://t.co/9GogK14k9D
The Bayesian modeling equivalent is this @StatModeling @avehtari @dan_p_simpson et al. Bayesian workflow paper: https://t.co/aJSMVxCvA1
— Sean J. Taylor (@seanjtaylor) April 13, 2021
Having strict process to ensure good results is so important, no matter how much experience you have. Very easy to go off the rails otherwise.
🎥Modern Artificial Intelligence 1980s - 2021 by @SchmidhuberAI!
— Radek Osmulski (@radekosmulski) April 13, 2021
This talk delivers! 🙂
✅ starts with the Big Bang (literally)
✅ history of everything explained in the first 10 minutes
✅ only accelerates from there 🙂
👉 https://t.co/Ya7NwvRaTq
Here is what I learned... pic.twitter.com/dMCfVH2PvD
Where every #plastic ever made ended up. #dataviz
— Randy Olson (@randal_olson) April 13, 2021
Source: https://t.co/Iz007I51ZO pic.twitter.com/ALhePN5S2I
Curious what we think the future of array computing can look like? Check out our new Dex preprint to see how we’re designing a language for safe, expressive parallelism (incl. no shape errors!) and efficient AD. Available at https://t.co/ae4cOQjoZ8
— Adam Paszke (@apaszke) April 13, 2021
Ohhh - another aesthetically pleasing way to visualize elevation in the USA: overlapping circles. #dataviz
— Randy Olson (@randal_olson) April 12, 2021
Source: https://t.co/UIh3ZxVk6q pic.twitter.com/t2jEWCuSIN