Machine Learning in Industry 4.0

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30 August 2022, 16:00 – 17:00 CEST.
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Online Course: Machine Learning in Industry 4.0

09., 12., 19., 21., 23. September 2022
10:00 - 16:00 CEST

Course for industry (SMEs, startups) and public sector
Organised by EIT Manufacturing CLC East in cooperation with EuroCC Austria, VSC Research Center (TU Wien) and Know-Center
Language: English
Location: Zoom
Price: 360 EUR/person

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.

For more details please see the course flyer (pdf)

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

Prerequisites

The participants are expected to have at least basic programming skills in Python.

Hands-on labs

Participants will use their own laptop or workstation to do the hands-on exercises. We will use
Anaconda and more detailed instructions how to download the software and setup the environment will be provided to the participants before the course starts. In addition, all participants will get a temporary training user on the VSC for the last course day, any up-to-date browser will be enough to connect to the VSC Jupyterhub and train a neural network on the HPC facilities of the VSC.

Lecturers

Simeon Harrison and Claudia Blaas-Schenner (EuroCC Austria and VSC Research Center, TU Wien), Philipp Danninger (EuroCC Austria and Know-Center)

Prices and eligibility

Price for the full course with certificate of attendance:
360 EUR/person (including VAT)

Registration

Course material

The course material will be available for registered attendees at course start.

Course organiser / contact

Monika Primozic (Education Developer at EIT Manufacturing CLC East)
monika.primozic@eitmanufacturing.eu

Simeon Harrison (Trainer at EuroCC Austria and VSC)
training-eurocc@vsc.ac.at

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