UH Calendar

NVIDIA DLI Workshop: Fundamentals of Accelerated Data Science with RAPIDS

Friday, August 23, 2024

9:00 am - 5:00 pm

Register

Open to current UH students, faculty and staff. CougarNet login required to register.  

Whether you work at a software company that needs to improve customer retention, a financial services company that needs to mitigate risk, or a retail company interested in predicting customer purchasing behavior, your organization is tasked with preparing, managing, and gleaning insights from large volumes of data without wasting critical resources. Traditional CPU-driven data science workflows can be cumbersome, but with the power of GPUs, your teams can make sense of data quickly to drive business decisions.

In this workshop, you’ll learn how to:

• 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.

Prerequisite(s):

• Experience with Python, ideally including pandas and NumPy.

Pricing details:

• The normal price is $500 per attendee, but this workshop is offered to UH students for free.

Certificate: 

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements: 

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.

The NVIDIA Deep Learning Institute (DLI) offers instructor-led workshops for developing key skills in AI, accelerated data science, or accelerated computing.