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Explore data-driven process optimization techniques in this 30-minute conference talk by Jillian Augustine from Mondi. Learn about data collection challenges, soft sensor construction, cross-validation methods, deployment strategies, and model management. Gain insights into real-world applications of data science in industrial settings and discover how to overcome common obstacles in implementing data-driven solutions. Engage with the speaker during the Q&A session to deepen your understanding of process optimization techniques.
Syllabus
Introduction
Data collection challenges
Building a soft sensor
Crossvalidation
Deployment
Model Management
Questions
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