WORKSHOPS & SUMMIT NOV. 4, 2019
SESSIONS & EXHIBITS NOV. 5 - 6, 2019

Data Science Analytics

Conference Sessions

Solving Our Greatest Challenges with Accelerated Analytics

See how GPUs are driving new capabilities and open source tools across data science fundamentals like machine learning, array manipulation, graph analytics, data visualization and more.

NVIDIA’s GPU Technology Conference (GTC) is the premier AI conference series, providing training, insight, and direct access to experts in data science and many other AI-related topics.

See the Impact of Data Science in the Enterprise

Join us Nov. 4 from 3 - 6 pm for an interactive meetup with leaders from Lockheed, MIT, NASA, Raytheon, and more sharing their innovative use cases of GPU-accelerated data science.

Featured 2019 Speakers

John Ferguson
Joe Eaton
Adam Thompson
Michael Beaumont

Explore Other GTC DC Topics

Instructor-Led DLI Workshop

Fundamentals of Accelerated Data Science with RAPIDS

FUNDAMENTALS OF ACCELERATED DATA SCIENCE WITH RAPIDS

Prerequisites: Professional data science experience with Python, including proficiency in Pandas and NumPy. Familiarity with common machine learning algorithms including XGBoost, linear regression, DBSCAN, K-Means, and SSSP.

Certificate available


Get hands-on with RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. You'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms including XGBoost, cuGRAPH, and cuML to perform data analysis at massive scale.

Get More Hands-on AI Training

Explore hands-on courses in deep learning and accelerated computing through NVIDIA's Deep Learning Institute.