The aim of the course is to provide the student with a advanced concepts of modern machine learning at the international research level. The student will become familiar with the modern literature by presenting recent research papers on various topics. The student will implement these methods in computer code and apply them to real learning problems. See http://www.snn.ru.nl/~bertk/machinelearning/adv_ml.html for details.|
The course provides advanced topics in machine learning. The course is intended for Master's students in physics and mathematics.|
This course is the follow-up of the course Machine Learning, which is part of the Computational Data Science minor. The course provides a good preparation for a Masters' specialisation in Theoretical Neuroscience or Machine Learning. See http://www.snn.ru.nl/~bertk/machinelearning/adv_ml.html for details.
|The following courses are useful but not required: Voortgezette Kansrekening , Markov ketens, Toegepaste wiskunde 1|
|Examination is weighted average of homework assignments and presentations.http://www.snn.ru.nl/~bertk/machinelearning|