Hanne Kekkonen

Hanne Kekkonen obtained her Ph.D. in applied mathematics at the University of Helsinki in 2016. After graduation she continued her research on statistical inverse problems as a research fellow at the University of Warwick and University of Cambridge.
Hanne joined the Delft Institute of Applied Mathematics at the Faculty of Electrical Engineering, Mathematics & Computer Science as an assistant professor in 2020. Her research focuses on Bayesian inverse problems, Bayesian statistics and nonparametric statistics.
Research interests:
. Inverse problems
. Bayesian statistics
. Nonparametric statistics

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AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details
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