Here is the full notebook with the interactive plots at the bottom if you want to play with them:https://t.co/qnmOVcasxe
— Olivier Grisel (@ogrisel) February 19, 2020
Gradient Boosting to predict the price of houses in Ames. pic.twitter.com/eKjuay2aJ3
Plotly's interactive parallel coordinates plot is really nice to build some insights on the impact of hyper-parameters on the generalization performance. pic.twitter.com/ekOVDqIjwi
— Olivier Grisel (@ogrisel) February 19, 2020
Doing tSNE in one minute on 1 million row dataset with @Nvidia @rapidsai:https://t.co/yFAw2ye3bS
— Bojan Tunguz (@tunguz) February 17, 2020
"Upgrading Python lists" by Dipam Vasani in @TDataScience
— Jeremy Howard (@jeremyphoward) February 7, 2020
First tutorial on fastcore's `L` class that I've seen. Check it out - it's a really helpful class and I use it ALL THE DAMN TIME nowadays!
NB: you don't need fastai2 for this, only fastcore,.https://t.co/9AH3HukzIv
See how Kaggler Chris Deotte uses @rapidsai #cuML to accelerate knn 600x in @kaggle #GPU cloud compute environment and augments data for higher accuracy on MNIST - https://t.co/H9aPHCMCsP
— RAPIDS AI (@rapidsai) February 5, 2020
IEEE Fraud @Kaggle Challenge 1st Place Solution with @rapidsai library:https://t.co/x125dun7kl#ml #ai #ds #machinelearning
— Bojan Tunguz (@tunguz) February 4, 2020
Given that data loading can be a major bottleneck in many DL projects, this sounds like an interesting project to check out: "Accelerating Pytorch with Nvidia DALI" --> "on small models it's ~4X faster than the Pytorch dataloader" https://t.co/W11D2OPCFf
— Sebastian Raschka (@rasbt) February 3, 2020
🔗to the @robjhyndman #rstudioconf2020 slides: https://t.co/PVuESDrXCe
— Emi Tanaka 🌾 (@statsgen) January 30, 2020
Sometimes I think our head of department excels in too many things that I have to work harder to catch up https://t.co/BIpUFqNdwo
GitHub Actions for R
— Jim Hester (@jimhester_) January 30, 2020
Sides for my talk at #rstudioconf available at https://t.co/RSsDfYUTjy
All right, here is my first @Rapidsai @Kaggle kernel. The performance is not great, but works and it's fast. Had to hack a few things to get it working. https://t.co/nS3ynzXTk6
— Bojan Tunguz (@tunguz) January 26, 2020
Neural Style Transfer: 50 Shades of Miaw with @TensorFlow 2.1, via @trinilearn. This is art. ✨https://t.co/tgQWjiccYH pic.twitter.com/pryVDZaBUy
— 👩💻 DynamicWebPaige (@DynamicWebPaige) January 23, 2020
🎚 Fab step-by-step feat. {tune}
— Mara Averick (@dataandme) January 22, 2020
🏎 “Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial” by @mdancho84https://t.co/NI0Komqb5h #rstats #tidymodels pic.twitter.com/ZcCrTT95Ij
