Optional Workshop on Fundamentals and Applications of Analytics and Machine Learning

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