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In this workshop, you’ll learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications. You’ll learn three different anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques. At the end of the workshop, you’ll be able to use AI to detect anomalies in your work across telecommunications, cybersecurity, finance, manufacturing, and other key industries. More information: https://www.nvidia.com/en-us/training/instructor-led-workshops/anomaly-detection/

ML with Python is pre-req

For questions, Ask Us. 

Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Tue Vu at least one week prior to the event to arrange for the accommodation.

Presented by Tue Vu

Date:
Thursday, October 26, 2023
Time:
10:00am - 1:00pm
Space:
Frances Anne Moody Hall 125
Audience:
  Faculty/staff     Graduates     Undergraduates  
Categories:
  Scholarship and Research > Computational Skills  
Registration has closed.

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