🎥 Video from @UseR2019_Conf are up, thanks to @RConsortium!https://t.co/kzKWI6W5cf #rstats pic.twitter.com/UrNsrZA41d
— Mara Averick (@dataandme) August 3, 2019
🎥 Video from @UseR2019_Conf are up, thanks to @RConsortium!https://t.co/kzKWI6W5cf #rstats pic.twitter.com/UrNsrZA41d
— Mara Averick (@dataandme) August 3, 2019
If you are pulling together fall semester course materials right now, keep in mind that you are more than welcome to use the ML and data science resources I’ve published. https://t.co/r4iMPsUN6u pic.twitter.com/l6iR3iaxj1
— Brandon Rohrer (@_brohrer_) August 2, 2019
Implementing Pix2Pix GAN models from scratch https://t.co/mIjCjWTuvi
— François Chollet (@fchollet) July 31, 2019
The final course of the https://t.co/Ryb1M38abX TensorFlow Specialization is now available on Coursera! You’ll learn how to build time series models, and at the end you’ll train a deep neural network on real-world data to predict sunspot activity: https://t.co/Pc6rnprpeI pic.twitter.com/iv6CqlMZhm
— Andrew Ng (@AndrewYNg) July 31, 2019
Kaggle reading group starts in 40 minutes! 🤓📑
— Rachael Tatman (@rctatman) July 31, 2019
Today we'll be (probably) wrapping up the XLNet paper. (No worries if you missed the first parts; I try to always start with a review & the final sections are usually the easiest to follow anyway. 😁) https://t.co/IUfTL2oSCP
Most courses only teach you how to train your models. This is only one I've seen that shows you how to design, train, & deploy models. All videos are available. Great resource for those struggling with the ML system design Qs in interviews too.https://t.co/grkcBbL76U
— Chip Huyen (@chipro) July 31, 2019
the most important HTTP request headers pic.twitter.com/vfVxeQg5d7
— 🔎Julia Evans🔍 (@b0rk) July 30, 2019
.@Shannon_E_Ellis showcased some amazing #rstats and data science edu tools:
— Alison Hill (@apreshill) July 29, 2019
☁️ Cloud based data science: https://t.co/VtwyeylLsC
🌪 swirl stats: https://t.co/XBFOhs57Tz
🦜 google slides + amazon Polly (in R) for videos with CC! https://t.co/uUYTx0JLRU pic.twitter.com/DuGMTbhzTd
🕷 Twenty mins of debugging intro will save you HOURS down the line!
— Mara Averick (@dataandme) July 29, 2019
"stop() - breathe - recover()" 👨💻 @MilesMcBain https://t.co/FEtUPxzVAA #rstats
This is wild. Solomon Kurz has “ported” @rlmcelreath _Statistical Rethinking_ to use brms & Tidyverse. And made the ported book open source. #rstats https://t.co/NcklzifvDH Statistical Rethinking with brms, ggplot2, and the tidyverse - bookdown
— JD Long (@CMastication) July 28, 2019
Floating point can store integers perfectly between:
— Smerity (@Smerity) July 28, 2019
± 2048 (2^11) for halfs (fp16)
± 16,777,216 (2^24) for floats (fp32)
± 9,007,199,254,740,992 (2^53) for doubles (fp64)
Just in case you ever needed to know ^_^https://t.co/baaxJIKzNL
One of the underappreciated strengths of the Julia creators is Jeff Bezanson's invariable honesty, seen clearly in his talk "What's Bad about Julia?": https://t.co/AsqDrsumB3
— John Myles White (@johnmyleswhite) July 26, 2019