Machine Learning and Deep Learning with R

Topics: Principles of ML and overview of a lgorithms, bootstrap, cross-validation, tuning, xAI methods. Introduction to Deep learning (DNNs, CNNs, RNNs, seq2seq, generative AI) in R with Tensorflow, Torch and cito.
 

Instructors: Dr. Maximilian Pichler / Prof. Florian Hartig
 

Course description: https://spur.uni-regensburg.de:443/qisserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=37372&periodId=548&navigationPosition=studiesOffered,searchCourses

Link for registration (GRIPS): https://elearning.uni-regensburg.de/course/view.php?id=37685

RIGeL CPs: 1,5 as Method Course