Welcome to the section Machine Learning. In this section we explore the basics of machine learning algorithms, their usage in Python and examples of their application in geosciences. If you are not yet comfortable with Python it is recommended to go through the section INTRODUCTION TO THE STATISTICAL PROGRAMMING LANGUAGE PYTHON first.

Every effort has been made in the preparation of this section to ensure the accuracy of the information presented. However, the information given comes without warranty, either express or implied. Neither the author, nor Freie Universitaet Berlin will be held liable for any damages caused or alleged to be caused directly or indirectly by the content of this section.

If you find any writing or coding errors or have any suggestions to improve the readability we would appreciate if you contact us via soga[at]zedat.fu-berlin.de

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Citation

The E-Learning project SOGA-R was developed at the Department of Earth Sciences by Kai Hartmann, Joachim Krois and Annette Rudolph. You can reach us via mail by soga[at]zedat.fu-berlin.de.

You may use this project freely under the Creative Commons Attribution-ShareAlike 4.0 International License.

Please cite as follow: Hartmann, K., Krois, J., Rudolph, A. (2023): Statistics and Geodata Analysis using R (SOGA-R). Department of Earth Sciences, Freie Universitaet Berlin.