What is Logistic Regression? And how to implement it in Python with RAPIDS cuML (Friend link)
What is K-Means? And how to implement it in Python with RAPIDS cuML (Friend link)
What is K-Nearest Neighbors? And how to implement it in Python with RAPIDS cuML (Friend link)
Run GPU code from our Docs in seconds through BlazingSQL Notebooks (Friend link)
Scale your Python data science across multiple GPUs with BlazingSQL (w/ code + data) (Friend link)
How to scale GPU machine learning with Dask (w/ code + data) (Friend link)
Everything you need to know when starting out with BlazingSQL (Walk-thru Example w/ Code) (Friend link)
Build your own GPU-accelerated database in seconds (Friend link)
Exploring NYC with Matplotlib, Datashader, HoloViews and cuxfilter (Friend link)
Evaluate query performance and execution with .log() (Friend link)
Preprocess > 30GB of NYC Yellow Cab data for Datashader visualization with a single Tesla T4 GPU (Friend link)
Reduce overhead & further improve your GPU accelerated data science (Friend link)
All RAPIDS compatible GPUs & prerequisites (Friend link)
Break down of simple & multiple linear regression and how to easily implement both in Python with RAPIDS AI’s cuML (Friend link)
Nearing 100x faster than Apache Spark, BlazingSQL is backed by Samsung and NVIDIA — but what is it? (+ the GPU DataFrame) (Friend link)
Easy 3 step setup of RAPIDS AI suite on Tesla T4 or P100 instance (w/ pictures) (Friend link)
NVIDIA’s new GPU acceleration of Data Science promises to rock the world — but what is it? (Quick & Easy Overview) (Friend link)