Golf example now a Stan case study! https://t.co/W5twiLzUza
— Andrew Gelman (@StatModeling) October 4, 2019
Golf example now a Stan case study! https://t.co/W5twiLzUza
— Andrew Gelman (@StatModeling) October 4, 2019
Here's the PDF of the talk I gave this evening about mypy at @dropbox in our Mountain View office. (But I said a lot of things that weren't in the slides.)https://t.co/xPm8MkWcZE
— Guido van Rossum (@gvanrossum) October 4, 2019
"Stabilizing Generative Adversarial Network Training: A Survey" -- imho, training GANs can be extremely frustrating; this is a nice paper to keep handy for these occasions: https://t.co/OsbnxXVhb4
— Sebastian Raschka (@rasbt) October 3, 2019
Do you formally know Monte-Carlo and TD learning, but don't intuitively understand the difference? This is for you.https://t.co/2DR75rK40u (with @samgreydanus) pic.twitter.com/6RwsBjFbU9
— Chris Olah (@ch402) October 1, 2019
First fastai v2 starter pack! :O
— Jeremy Howard (@jeremyphoward) September 30, 2019
(Note that v2 is very very pre-release - @radekosmulski is an early adopter!) https://t.co/52X2mULm7y
To get started, check out this tf.keras guide: https://t.co/iaH4Q5Qsvr
— François Chollet (@fchollet) September 30, 2019
In particular "Guide to training and evaluation" and "Guide to writing layers and models from scratch with subclassing" highlights some of the major changes.
The fable package is now on CRAN. Here is a brief intro to the main functions. https://t.co/75vf1T2jVU #rstats #forecasting Thanks to @mitchoharawild for the package.
— Rob J Hyndman (@robjhyndman) September 30, 2019
Want to learn deep RL? My deep RL course now has a permanent course number (CS285) and is being offered this semester:https://t.co/tAGzTDfvUc
— Sergey Levine (@svlevine) September 29, 2019
Lecture videos here (so far, we've gotten through most of model-free RL, model-based RL coming up next): https://t.co/u4z5kQCuVo
I wrote a short(ish) blog post about how you can pass a function as an argument in #rstats. It's one of these things that I find pretty amazing in R, and hopefully it might prove useful to others :)https://t.co/rdGsKTkfmV
— Nicholas Tierney (@nj_tierney) September 29, 2019
This edited version is an improvement, but
— Judea Pearl (@yudapearl) September 28, 2019
my favorite video is still the one I gave in Paris:https://t.co/khr90KUzXa
(Microsoft, 2012) perhaps because the ideas were still new to me, fresh from the brewery, or because I was 7 years younger. #Bookofwhy https://t.co/purDF1M6Cu
To learn more about this, and get involved with time series analysis in fastai more generally, be sure to check out the time series discussion here: https://t.co/WLXtrGuuks
— Jeremy Howard (@jeremyphoward) September 27, 2019
😎 The graph galleries made it to the Long list of the @infobeautyaward.
— Yan Holtz (@R_Graph_Gallery) September 27, 2019
If you use #rstats, #Python, or #js for dataviz, you may find them useful!https://t.co/37QCKbhZfghttps://t.co/fGXOmTro60https://t.co/OL04H1PfD7