New blog post! A tutorial on using matrices in #rstats to find the best combination of Pokémon types for your team. Spoiler alert: you're going to need Ground, but neither Fire nor Water make the cut.https://t.co/qCsQSYKZVy pic.twitter.com/bzITqmVpqv
— Emily Robinson (@robinson_es) August 20, 2019
📋 Helpful visuals to get in that testing flow…
— Mara Averick (@dataandme) August 20, 2019
"Package development: Unit testing" by @hadleywickham, @JennyBryan, @jimhester_ https://t.co/UnwsL5gJvP
Testing chapter of R Packages: https://t.co/ETPOHRFlnT #rstats pic.twitter.com/7RnNAv49gk
"NMF is a nice tradeoff between PCA and k-means" - I can highly recommend this tutorial by @ItsNeuronal https://t.co/EssNq8lb5U pic.twitter.com/M6AwAivOCA
— Verena Haunschmid (@ExpectAPatronum) August 17, 2019
⏰ Great post on new ts pkg by @nj_tierney & @visnut!
— Mara Averick (@dataandme) August 17, 2019
📝 "Explore longitudinal data w/ {brolgar}" https://t.co/XRwaKzgYKv #rstats
/* 🖍 mine */ pic.twitter.com/KinkyvgNbj
How to make a reproducible version of your #Rstats analysis that can be run in any modern web browser, using @_inundata’s 'holepunch' package + @mybinderteam
— Dan Quintana (@dsquintana) August 15, 2019
Full screencast w/links [11 mins] 👉 https://t.co/5sjlN0iY4h
Preview 👇 pic.twitter.com/SsX8qozMJ8
{holepunch} by @_inundata makes using @mybinderteam w/ RStudio ridiculously smooth!https://t.co/I9CmeJM7Mc #rstats https://t.co/quRs2F0xoY
— Mara Averick (@dataandme) August 14, 2019
Faster performance with less performance. Our data science partner @iguazio integrated @rapidsai with @nuclioio, an open source serverless project; it's fast. https://t.co/M7nK0llPdx pic.twitter.com/MylwokzMnC
— NVIDIA AI Developer (@NVIDIAAIDev) August 12, 2019
📜 Fun code-through on the Federalist papers…
— Mara Averick (@dataandme) August 12, 2019
"Authorship classification w/ {tidymodels} & {textrecipes}" ✍️ @Emil_Hvitfeldt https://t.co/NUSilgXxO9 #rstats pic.twitter.com/KdtWrlxOcs
A question I get from time to time is how to convert a pretrained TensorFlow model in PyTorch easily and reliably.
— Thomas Wolf (@Thom_Wolf) August 9, 2019
We're starting to be quite familiar with the process so I've written a short blog post summarizing our workflow and some lessons learned 👇https://t.co/d8ZMs30nGq
Just about to kick off the BigQuery Machine Learning workshop. Come hang out and train (and serve!) some models with us. 🤓💻
— Rachael Tatman (@rctatman) August 7, 2019
📓 Tutorial notebook: https://t.co/UCwItIynvQ
📓 Exercises: https://t.co/DIxNuVumVz
📹 Livestream (starting @ 9:00 AM Pacific): https://t.co/Y0ZDTyCvqp
Implementing Pix2Pix GAN models from scratch https://t.co/mIjCjWTuvi
— François Chollet (@fchollet) July 31, 2019
We just published a new tutorial for Image Segmentation, using a U-Net style architecture (and a pretrained MobileNet). Runs pretty quick, too.
— Josh Gordon (@random_forests) July 24, 2019
Nice work, @arjun_dcunha! https://t.co/w4NFV12yAg pic.twitter.com/BNR5j9VaZ4
