Identify Problems with Artificial Intelligence – Case Study

Industry 4.0: Bring your Complex Problem Solving Skills to a new level. Contains Deep Learning Tutorial.

Created by: Vladimir Zhbanko
Senior Engineering Specialist and Instructor

What Will I Learn?

• Identify anomaly within several similar objects
• Apply Unsupervised Machine Learning algorithm kmeans
• Develop and deploy ShinyApp
• Apply Version Control to your projects or activities
• Re-use provided template and course exercises in R and ShinyApp
• Use Deep Learning Autoencoder Models to Detect Anomalies in Time-Series data
• Create a System that Supervises Industrial Process and helps Process Operators to detect anomalies

Requirements

• Computer with Internet connection
• Mac or PC
• R Statistical Software, R-Studio
• Version Control Software e.g. Github for Desktop [recommended]
• Installed Java on your computer

Target audience

• Anyone willing to be more advanced in Complex Problem Solving
• Production Supervisor or Process owner in Manufacturing
• Data Analyst
• Engineer