Here's the video: https://t.co/PWqSRc5uPa . Everyone I've spoken to has said this was the highlight or NeurIPS 2019. https://t.co/TOsmuDFvfp
— Jeremy Howard (@jeremyphoward) January 16, 2020
Here's the video: https://t.co/PWqSRc5uPa . Everyone I've spoken to has said this was the highlight or NeurIPS 2019. https://t.co/TOsmuDFvfp
— Jeremy Howard (@jeremyphoward) January 16, 2020
I've started to upload the videos for the Neural Nets for NLP class here: https://t.co/H1jHhqwTWz
— Graham Neubig (@gneubig) January 15, 2020
We'll be uploading the videos regularly throughout the rest of the semester, so please follow the playlist if you're interested. https://t.co/aYA0drnKiP
That’s a neat use of Transfer Learning to leverage a pretrained GAN (here BigGAN) https://t.co/T4hwBTtkk9
— Thomas Wolf (@Thom_Wolf) January 15, 2020
If you're interested in learning about what's coming in fastai v2, you might be interested in this overview of the key pieces.
— Jeremy Howard (@jeremyphoward) January 8, 2020
Many thanks to @bsaeta, @clattner_llvm, @DynamicWebPaige, & all the Swift for TensorFlow team for providing this opportunity.https://t.co/l3lUSGd8bP
Embed All The Things! John Healy's PyData LA talk on using UMAP on diverse types of data is well worth watching. https://t.co/GRm7an93R8
— Leland McInnes (@leland_mcinnes) December 31, 2019
Watch "A guide to modern reproducible data science with R" with @_inundata from rstudio::conf(2019)
— RStudio (@rstudio) November 6, 2019
🎦https://t.co/iuc1jTKQ1F
Learn more about and register for rstudio::conf(2020) in San Francisco at https://t.co/rYJqkzCywm #rstudioconf #rstats #DataScience pic.twitter.com/cTTYvo36VM
My talk on "Getting Specific about Algorithmic Bias"https://t.co/K5MOawggb4 pic.twitter.com/efNQtoVClJ
— Rachel Thomas (@math_rachel) November 3, 2019
Enjoyed this talk by @andrewgwils and his students (@polkirichenko & @Pavel_Izmailov) introducing and motivating their recent work on Stochastic Weight Averaging.
— Zachary Lipton (@zacharylipton) November 3, 2019
Papers:
SWA: https://t.co/zRPuRDmCLk
Mode Connectivity: https://t.co/eCUPbQG4WChttps://t.co/D1pGnkvxw8
In this #tidytuesday screencast, I analyze a dataset of squirrels in Central Park🐿️🐿️🐿️
— David Robinson (@drob) November 1, 2019
This includes a visualization from NYC shapefiles, as well as a quick Shiny app to explore how squirrel behavior varies across the park!https://t.co/uXxrdgzaUQ #rstats pic.twitter.com/TlGCpqHqGd
Watch "Data science as a team sport" with Angela Bassa from rstudio::conf(2019)
— RStudio (@rstudio) October 31, 2019
🎦 https://t.co/g398W5iW4C
Learn more about and register for rstudio::conf(2020) in San Francisco at https://t.co/rYJqkzCywm #rstudioconf #rstats #DataScience
Dask has a Youtube channel filled with quick 5-10 minute screencasts.https://t.co/tHi0VDJzQv?
— Dask (@dask_dev) October 29, 2019
In this #tidytuesday screencast, I analyze a dataset of horror movie ratings, and use lasso regression to predict ratings based on genre, cast, and plot.
— David Robinson (@drob) October 22, 2019
What's 😱👍: Indian, animated, and drama films
What's 🙄👎: Sharks and Eric Robertshttps://t.co/3qj7NoA4Pf #rstats 🧛♂️👻 pic.twitter.com/OBI6x1O2zX