Rapids Machine Learning Training and Feature Engineering in GPU with CuML and CuDF
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
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.
Syllabus
Rapids Machine Learning Training and Feature Engineering in your GPU with CuML and CuDF
Taught by
The Machine Learning Engineer
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera