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      Using Machine Learning for Anomaly Detection and Predictive Maintenance Scenarios

      , Principal Data Scientist, Mark III Systems

      Join Mark III, an NVIDIA Elite Partner, for an Introduction to machine learning (ML) tutorial and an interactive, practical lab on using ML techniques to see anomalies in sensor and machine data and predict when maintenance failures might occur. You'll receive access to a Jupyter Notebook guided lab and the ability to make a copy of the lab and take it "home" and plug in your own data to make similar predictions. No prerequisites are necessary, although some Python experience is a plus. This lab is part of Mark III's AI Education Series, which has been delivered in partnership with over 40 institutions in North America since 2020. 

       

      Prerequisite(s):  

      • Some Python experience is helpful but not required 

       

      Please disregard any reference to "Event Code" for access to training materials. "Event Codes" are only valid during the original live session. Explore more training options offered by the NVIDIA Deep Learning Institute (DLI). Choose from an extensive catalog of self-paced, online courses or instructor-led virtual workshops to help you develop key skills in AI, HPC, graphics & simulation, and more.

      活动: GTC Digital Spring
      日期: March 2023
      行业: 所有行业
      级别: 初级技术
      话题: Data Science
      语言: 英语
      话题: Data Science and Machine Learning
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