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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
PROFESSIONAL PROFILE
About me
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Posts
On data lekage in machine learning
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How to break into machine learning
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I have a master’s degree in civil and structural engineering, where I dedicated the last year of my MSc study, including my MSc thesis, to vibration-based damage detection using machine learning (ML). At that time, I was working together with the Monitoring of Structures research group at Aarhus University, who wanted to apply their structural health monitoring technologies within a probabilistic framework to perform damage detection. I had a solid background in applied mathematics and a semi-solid background in classical statistics, but machine learning was a completely new field to me. As most people would do, I stated out by finding book recommendations on the topic, collected the most highly rated books, i.e., Bishop (2006) and Murphy (2012), and dived in. These books are somewhat of a mouthful when you are not familiar with the (Bayesian) ML jargon and workflow, but then I found Andrew Ng’s original, online Stanford/Coursera.org course, which became a game changer for me, and I now have a PhD in probabilistic modeling and analysis (ML) and work as a Postdoc and consultant in this field.
portfolio
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Portfolio item number 2
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publications
Systems modeling using big data analysis techniques and evidence
Published in the IEEE 2019 4th International Conference on System Reliability and Safety (ICSRS2019), 2019
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A framework for offshore load environment modeling
Published in Journal of Offshore Mechanics and Arctic Engineering, 2020
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Information-consistent systems modeling and analysis - with applications in offshore engineering
Published in Aalborg University (PhD thesis), 2021
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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