The final lecture from our Deep Learning course of last semester is up. https://t.co/6ZKScjwKT6
β Yann LeCun (@ylecun) September 29, 2020
The final lecture from our Deep Learning course of last semester is up. https://t.co/6ZKScjwKT6
β Yann LeCun (@ylecun) September 29, 2020
Watch "Journalism with RStudio, R, and the tidyverse"
β RStudio (@rstudio) September 18, 2020
from @larry_fenn at #rstudioconf-2020
π¦ https://t.co/BKqSxJNCG0
Watch "Building a new data science pipeline for the FT with RStudio Connect""
β RStudio (@rstudio) September 16, 2020
from George Kastrinakis from #rstudioconf-2020
π¦ https://t.co/7HxDiaqeJg
Learn about #rstudioglobal 2021 https://t.co/oBWXbpqWYM pic.twitter.com/fjI49syFmk
It is Gaussian Process time! Summer School just started. This year you can follow it live on YouTube! https://t.co/kLhAdd05Be https://t.co/jDnQKYiUvk @maalvarezl @lawrennd @wilkinson_rich #2020GPSS
β Javier GonzΓ‘lez (@javiergonzh) September 14, 2020
The full hands-on tutorials, "Building Recommender Systems with PyTorch", are now available. We show how to build deep learning recommendation system and resolve the associated interpretability, integrity, and privacy challenges. See: https://t.co/vaqkdhpvyr
β PyTorch (@PyTorch) September 10, 2020
good quick tutorial on optimizing your PyTorch code β²οΈ: https://t.co/7CIDWfrI0J
β Andrej Karpathy (@karpathy) August 30, 2020
quick summary: pic.twitter.com/6J1SJcWJsl
Want to learn how to deploy an R model and a Shiny app with GitHub Actions? My #rstatsnyc talk is available to watch now: https://t.co/deS68jU3T6 #rstats
β David Smith (@revodavid) August 25, 2020
In which @standupmaths and I discuss BAD NUMBER ANALOGIES with the help of special effects right out of Jurassic Park: https://t.co/7aLSuEToOn
β Tim Harford (@TimHarford) August 25, 2020
"LSTM is dead. Long Live Transformers!" by @leopd
β ML Review (@ml_review) August 23, 2020
Clear & brief 20 min technical deep dive into how Transformers work with multi-headed self-attention, and positional encodinghttps://t.co/FvyA8m41kg
Check out the 3 courses on Tabular Data, NLP and Computer Vision from the awesome Amazon MLU team https://t.co/5RwvtRnyb4 - kudos to Bree, Rachel, Brent and the rest of the crew. Built on https://t.co/fuWTPxe9I1.
β Alex Smola (@smolix) August 18, 2020
Videos from @StanfordAIMI Symposium are up! I spoke on why we need to expand the conversation on bias & fairness.
β Rachel Thomas (@math_rachel) August 12, 2020
I will share some slides & related links in this THREAD, but please watch my 17-minute talk in full (the other talks are excellent too!) 1/https://t.co/QtFt0OgURs pic.twitter.com/FXXyVNgAHr
Sharing a video of my talk at the CI-FAR workshop on causality: https://t.co/Oh89xrf6se "Contesting the Soul of Data Science"
β Judea Pearl (@yudapearl) August 6, 2020
Apologizing for the occasional mis-synchronization with the slides (which I could not see in LA), due to a mischievous Zoom problem.