(Master) Semi-automatic pre-processing of unknown data sets for AI/ML appliacations
(Master) Semi-automatic pre-processing of unknown data sets for AI/ML appliacations || Date: June 7th, 2021
Research work on yield prediction in wafer production is currently underway as part of the iDev40 project. This often involves processing large amounts of data of different compositions. The analysis and preparation of the data sets must be adapted and optimised again and again. This proves to be rather time-consuming. The aim of this work is to preprocess different data sets for machine learning models. This includes an automatic analysis and optimisation of the data with the possibility of influencing the nature of the target data set. Depending on the prior knowledge of the data set, value is to be placed on certain parameters. The topic is suitable for stundes of electrical engineering or computer science. Basic knowlwdge in R or Python is helpful. Date: June 7th, 2021 Contact: Peter Stich, Michael Wahl
Pattern recognition
Frequency analysis
Data selection