type | lecture |
lecturer | Monika Machnik |
format | prerecorded video lecture |
start time and duration | any time before lab part, ca. 30 minutes |
materials for students |
presentation will be available to download after the end of summer school |
evaluation method | quiz |
type | lab |
lecturer | Krzysztof Zaraska |
format | prerecorded video lecture |
start time and duration | any time, ca. 30 minutes |
materials for students |
will be available to download |
evaluation method |
description
This is a short introduction of techniques used for automated data analysis: reduction of dataset dimensions via PCA (Principal Component Analysis) and automatic classification based on SVM (Support Vector Machine) and k-means methods.