Explore GPU-accelerated machine learning and feature engineering using RAPIDS CuML and CuDF libraries in this 43-minute video tutorial. Learn how to leverage the power of your GPU to significantly speed up ML model training and data preprocessing tasks. Access accompanying Jupyter notebooks from the provided GitHub repository to follow along and practice implementing RAPIDS tools for efficient, large-scale data analysis and model development.
Rapids Machine Learning Training and Feature Engineering in GPU with CuML and CuDF
The Machine Learning Engineer via YouTube
Overview
Syllabus
Rapids Machine Learning Training and Feature Engineering in your GPU with CuML and CuDF
Taught by
The Machine Learning Engineer
