Machine Learning in Industry 4.0 is a 5-days interactive online training, especially designed for professionals (such as engineers and other technical professionals, as well as students) interested in the basic theory of Machine Learning (ML) (for example, theory on the ML landscape, support vector machines, decision trees etc.), but who would also like to learn about Deep Learning and its practical application with solving a classification or regression model problem.

By the end of the training the participants will be able to understand the basic concepts of Machine Learning and its application to the Manufacturing and Industry context. The training is interactive with application of real case examples across all days.

Programme:

Block 1:
09 September 2022

• Theory, basic ideas of Machine Learning (ML) & ML landscape
• Support Vector Machines, Decision Trees
• Random Forests and Ensemble Learning

Block 2:
12 September 2022

• Theory and basic ideas of Neural Networks (NN) & Deep Learning (DL)
• Quick tour of TensorFlow and Keras
• Solving a regression problem
• MNIST dataset: The Hello World of DL

19 September 2022

• Convolutional Neural Networks (CNNs)
• Manufacturing/industry-related examples
• Transfer learning on CNNs
• Manufacturing/industry-related example

21 September 2022

• Convolutional Neural Networks (CNNs)
• Manufacturing/industry-related examples
• Transfer learning on CNNs
• Manufacturing/industry-related example

Block 3:
23 September 2022

• Wrap up, repetition & outlook
• High-Performance Computing (HPC)
• Training a NN on an HPC cluster
• Means and methods of improving performance

This course is organized by EIT Manufacturing CLC East in cooperation with EuroCC Austria, Vienna Scientific Cluster (VSC), and Know-Center.