470273-HS2023: CAS Advanced Machine Learning

In many disciplines, the amount of available data and the computing capacity are growing rapidly. This enables the application of machine learning methods on tasks previously being reserved for humans. The format is designed to align with the participants’ main study and or professional activities. The teaching and learning approaches are team and discussion oriented and designed to develop practical competency. It is structured in six modules which are offered in blocks and Fridays' afternoon. The CAS is at a university master level and programming and some machine learning skills from education or profession are required, e.g. the CAS Applied Data Science.

Course competence is developed throughout six modules and a CAS project work. On completion the graduates will (be able to):
- design, tune, train and measure performance of neural networks with advanced deep -learning libraries
- understand the inner mechanisms of neural networks during training
- familiar with active research in machine learning
- understand and communicate scientific publications on machine learning and artificial intelligence
- familiar with the philosophy and ethics of extended and artificial intelligence
- familiar with one or more applied machine learning domains, the main mathematical methods for data science and machine learning

Englisch

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1. Mär 2023, 16:50 - Gestern, 13:55

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