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Machine Learning

Prof. Dr. Thomas Slawig and Dr. Jaroslaw Piwonski, Department of Computer Science, CAU

08 July 2019
09:00 – 16:00 h

Leibnizstraße 1, room 105

Everyday applications like automated picture-analysis or seabed topography recognition already use Machine Learning. This rather new method is a hot topic in business, society and science and can have numerous applications in the field of e.g. Big Data – by recognising patterns algorithms can solve problems and give predictions based on the analysed data.

In this course, we give a basic introduction:
What are artificial neural networks (ANNs)?
What is machine/deep learning (ML/DL)?
How does it work?
What are applications in (ocean) science?
Can I apply ANN/ML to my problem, and how?

Required: Basic programming skills in Python.

Basic programming skills in Python can be learned in the ISOS hands-on seminar "Python for Marine Data Analysis" on May 27-28th (independent registration through our homepage required)

Prep Meeting: 26 June 2019 | 09:00 - 10:00 h | Venue: Leibnizstraße 3, room 17


ISOS candidates have priority in our courses.
Usually, child care can be provided – please get in touch with us as soon as possible.

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Data protection and personal data: The Cluster of Excellence "The Future Ocean" at Kiel University requires personal data from participants to plan and hold the event described above. Any personal data that is supplied to Future Ocean will only be saved, processed and used for planning and holding this specific event. Supplied data within the registration procedure is treated confidentially and elicited and used only for the purposes described above. The data will not be shared with third parties. Saving and processing the data collected here is carried out in accordance with the Data Protection Act. Registered users may both refuse to supply data and also withdraw consent with future effect. Contact for the refuse:

July 2019

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