Optional workshop by Leo H. Chiang, Dow; R. Bhushan Gopaluni, Univ British Columbia; and Ali Mesbah, Univ California Berkeley:

  1. Introduction
    1. Data Visualization
    2. Data preprocessing
    3. Classical & Modern Machine Learning Tools
      1. Regression, Classification, Dimensionality Reduction, Clustering
      2. Introduction to Deep & Reinforcement Learning
    4. Machine Learning Workflow & Validation
  2. Applications
    1. Process modeling & monitoring
    2. Control & Optimization
    3. Fault Detection/Diagnosis & Predictive Analytics
  3. Practitioner experience
    1. What are good data? How good is good enough? Industrial tips and tricks of the trade 
    2. Use case studies

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer