Machine Learning in Manufacturing

This course introduces Machine Learning (ML) and its applications in manufacturing. We use real-world case studies to explain how ML works and can be applied in different manufacturing-related problems.
In addition to the technical focus of applying ML in manufacturing, the course provides knowledge on prerequisites for generating business value from data-driven decision-making. We illustrate the importance of data pre-processing and structured work procedures in ML projects to secure data quality and successful analyses. The crucial link between data-driven decision-making, competence, and internal/external integration will be highlighted.
The exercises are prepared in a way to minimize programming and allow you more time to focus on interpreting the quality of the results.