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DOWNLOADS

Project

Installation


PROGRAM

0900
Welcome!
Recap
0930
What ist ML?
Unsupervised Learning
Intro
Practical
1030
Fitting
Intro
Practical
1200 Pause Pause
1300
Fitting
Features
Intro
Practical
1345
Prediction
Intro
Practical
1515Pause
1530 Pause
Models
Intro
Practical
1545
Optimization
Intro
Practical
1740
Look Ahead


LITERATURE

Kuhn & Johnson
Applied predictive modeling

James et al
An Introduction to statistical learning


OTHER COURSES

Webinar
Explorative Daten-
analyse mit R

Webinar
Statistik mit R

Webinar
Maschinelles Lernen
mit R

Webinar
Reporting mit R