Top Tweets for #fastML
I finally had a chance to take it for a spin. Awesome work on #fastml @selcukorkmaz! Impressed that I could fit 13 models in one shot ๐ฑ The impute options are next level, though install was a bit bumpy with missing dependencies on both devtools and CRAN versions. I tested it on finance Lending Club data, predicting which loans will be paid vs not paid (collapsed 9 status types into Paid vs Default) and the summary output was ๐ฅ. As you can see in the table ๐ C5 rules actually nailed defaults best. Overall, really solid ๐ฆ thanks for putting this out! #rstats #tidymodels

@selcukorkmaz Looks promising... gonna try it!
๐ Meet #fastml โ the tidy R wrapper that trains & compares XGBoost, Random Forest, SVM (+ more) in one call. Auto-preprocess โ๏ธ cross-val โ๏ธ parallel tuning โ๏ธ DALEX explainability. Install today:
devtools::install_github("selcukorkmaz/fastml@devel") โ version 0.6.0 will be available on CRAN soon! ๐ #rstats #MachineLearning #DataScience

Using #fastml, you can now create learning curves that reveal how a model's performance scales with different training-set sizesโoffering a clear view into bias-variance trade-offs, data sufficiency, and resource planning for your machine learning projects.
#MachineLearning #DataScience #Rstats #Research #Science

In the following #fastml example, we chain multiple dimensionality reduction steps: first ICA (Independent Component Analysis), then PCA on top of it. Though uncommon, it shows how you might stack transformations.
#MachineLearning #DataScience #RStats
Below are 10 advanced usage examples of the #fastml function, illustrating a variety of scenarios including different tuning strategies, custom recipes, parallel processing, advanced data preprocessing, and more.
#MachineLearning #DataScience #RStats
Developed #fastml to make machine learning in R simpler and more accessible. Easily train, evaluate, and predict models with just a few lines of code. Iโd love to hear your feedback! Check it out here: https://t.co/QO7yVSAfn9 #RStats #DataScience #MachineLearning
Explore how #fastml simplifies machine learning in R with minimal code!
#Rstats #MachineLearning #DataScience
Machine Learning Simplified with #fastml!
Today, we're exploring an insightful example using the Breast Cancer Wisconsin Diagnostic dataset. We'll see how fastml streamlines the ML workflow in R with minimal code.
#Rstats #MachineLearning #DataScience
https://t.co/QO7yVSzHxB
๐ Simplify ML with #fastml!
Trained 7 models (RF, SVM Radial, LR, C5.0, GBM, XGBoost, NN) on the Breast Cancer dataset using minimal R code. ๐ GBM led with a stellar ROC AUC of 0.996! Perfect for robust healthcare AI projects. ๐ฉบโจ #MachineLearning #DataScience #RStats
Machine Learning Simplified with #fastml!
Today, we're exploring an insightful example using the Breast Cancer Wisconsin Diagnostic dataset. We'll see how fastml streamlines the ML workflow in R with minimal code.
#Rstats #MachineLearning #DataScience
https://t.co/QO7yVSzHxB
Mark your calendars - upcoming in two days! Fast #MachineLearning for Science Conference 2024 (15-October 18, 2024) #fastML co-sponsored by โฆ@PurdueECEโฉ #PurdueElmoreQuantumAI https://t.co/rdFGDUk18H
#FastML for Science 2023 Workshop @imperialcollege from Sep 25-28, 2023: Abstract submission extended to Aug 14, 2023 and Registration is open! https://t.co/HzD7b0s9wb @a3d3institute @hls4ml @CERN @Fermilab @PhysicsIllinois @UofIllinois @UW @SouthernMethod @LifeAtPurdue @ETH_en

#FastML for Science Workshop 2023 abstract submission is now open! @a3d3institute @hls4ml @imperialcollege @CERN @Fermilab @UCSanDiego @UW @SMU @UofIllinois @LifeAtPurdue @ETH_en https://t.co/7vyFB8zH9H https://t.co/nTtgvxtig8

I spent the past two months redesigning the entire evaluation service of our ML platform @landingAI. Now it is more interpretable and actionable to our end users, and 30X faster than before. Cannot wait to show that to all of our users!
#ml #engineering #fastml
That's #awesome: Since yesterday I am officially a beta tester of @Streamlit.Share. It is the #fastest, #simplest and most #efficient way ever! to #present your #DataScienceAapplication to the public.
#ML #DL #AI #KI #FastML #showcasingML
We are proud to be recognized as a leading technology partner with the @BMWGroup in development of the BMW Group High Performance D3 platform for highly and fully #automated driving. Read more: https://t.co/suvhS8bIVF #AutonomousDriving

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