AI & Machine Learning
Fundamentals of Accelerated Data Science
Do data science at GPU speed.
1 dayFoundation1 modules
About this course
Do data science at GPU speed. You will prepare data and extract features with cuDF and Apache Arrow, run machine learning with XGBoost and cuML algorithms, and analyse graphs at scale with cuGraph.
What you'll learn
- Implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow data frames
- Apply a broad spectrum of GPU-accelerated machine learning tasks using XGBoost and a variety of cuML algorithms
- Execute GPU-accelerated graph analysis with cuGraph, achieving massive-scale analytics in small amounts of time
- Rapidly achieve massive-scale graph analytics using cuGraph routines
Curriculum
1 modules
- Course Introduction
- GPU-Accelerated Data Manipulation
- GPU-Accelerated Machine Learning
- Project: Data Analysis to Save the UK
- Assessment and Q&A
- Course Summary
Who it's for
Data scientists and analysts who work in Python with pandas and NumPy.
Before you start
- Experience with Python, ideally including pandas and NumPy
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