
Introduction to Matlab for PhD students of SFB 874 and IGSN
- Kursleiter/in: Wolfgang Kruse
- Kursleiter/in: Michael Hollmann
- Kursleiter/in: XKombi-Dienst IGSN
Machine learning (ML) methods are used for a wide variety of
problems from identifying cats in images to automatic text
translation and speech recognition. Formally hard problems of AI
have been solved by modern implementations of deep learning and
the new methods are also increasingly applied to many fields of
science.
In this introductory seminar we want to explore the possibilities
of ML techniques in general and its usages in the neurosciences in
particular.
With a focus on practical programming training we will implement
basic ML algorithms that can be used in the field. We will use
previously recorded electrophysical data, databases from public
sources and you are also encouraged to bring your own data to test
the algorithms on.
You will learn to use various data sources, like Kaggle to obtain
rich data sets. Basic visualization techniques in Matlab will be
trained and what to look out for in datasets. You will learn to
implement basic ML algorithms and how to use available Matlab
methods for ML. A large focus will be to use state-of-the-art
techniques like Deep Learning to solve problems in the
neurosciences.
- Kursleiter/in: Sarah Karis
- Kursleiter/in: Christian Klaes