MAIN ACTIVITIES & RESPONSIBILITIES
- Development, evaluation and optimization of data-driven models, mainly by applying machine and deep learning.
- Design and delivery of training courses on theory and application of machine learning. (on-site and online)
- Project management and project management assistance.
- Preprocessing of data, model creation and implementation of machine and deep learning.
- Preprocessing of data and implementation of machine and deep learning with the usage of the toolboxes.
- Preprocessing and visualization of data, model training, application and per-formance evaluation. COMSOL MULIPHYSICS
- Construction of components and simulation of stresses on them.
- Use for data acquisition and subsequent evaluation, e.g. the user behaviour of an application.
- Product management and product development according to the principals of SCRUM.
- Moderation of Workshops to develope concrete Use Cases of artificial intel-ligence.
- Conception of new products and services within an existing organization.
- Detection of anomalies within the process of welding parts.
- Detection of defect parts due to several kinds of failure.
Deep Learning with Python
Training and evaluation of a deep neural Autoencoder.
Model development, training and performance evaluation.
- Conception of an online training about the fundamentals of data science and machine learning.
- Conduction of the training with theoretical lectures as well as six hands-on exercises to develop an AI solution with machine learning.
Machine Learning in KNIME, recording and video editing.
Development of workflows within KNIME.
Screen recording of all exercises to demonstrate how to build an AI solution.
Explanation of the workflow as well as the model development and performance evaluation.
Hochgeladen am: 25.03.2020
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