May 14 - 16, 2018. Amersfoort, The Netherlands.

Machine Learning helps connected things to automatically learn its normal state and behavior, which enables detection of anomalies, attribution of what has the largest impact on performance, simulation of scenarios, and even prediction of future events.

This course moves quickly from the theoretical basics of Machine Learning via different techniques, IoT requirements and terminology, to hands-on experimentation.

The course is intended for engineers. Some experience in programming is a benefit, Python especially but not mandatory. No previous Machine Learning or Data Science experience is required.

The course is favorably combined with course No 102 IoT, Internet of Things - The Next Big Disruption, where we over two days explore use cases and business benefits of utilizing the skills acquired in this course.

Course Content
Rikard König
Dr Rikard König

PhD, is co-founder and Chief Data Scientist at Ekkono Solutions, and Senior Lecturer at the University of Borås, Sweden.

At the University of Borås Dr. König also heads CSL@BS, a research group of ten researchers specializing in machine learning and high performance computing. He has more than 10 years of teaching experience.

Dr. König is a member of the Continuing Education Institute-Europe faculty as of 2017.
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