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--- tutorials [2022/03/01 08:54] – admin
+++ tutorials [2022/04/21 08:42] (current) – admin
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-======   ======
+====== ML pipeline: Automated detection and classification of ICMEs ======
-====== Tutorials related to our science cases ======
+We have a [[https://github.com/epn-ml/Tutorial_IWF-ICMEs|tutorial about the ML pipeline]] developed for our [[:science_cases:iwf_science_case|IWF ICME science case]] on our [[https://github.com/epn-ml|GitHub account]].
-  * We have a [[https://github.com/epn-ml/Tutorial_IWF-ICMEs|tutorial about the ML pipeline]] developed for our [[:science_cases:iwf_science_case|IWF ICME science case]] on our [[https://github.com/epn-ml|GitHub account]]:
 In the tutorial, we will introduce an ML pipeline for the automated detection of interplanetary coronal mass ejections (ICMEs) in solar wind time series data. We will guide the reader through the developed ML code with the help of a sample data set of solar wind time series data from different spacecraft (WIND, STEREO-A and STEREO-B).
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 Feel free to try out our pipeline and provide feedback about it! :)
-====== Other tutorials and links ======
-  * A general introduction to machine learning:[[http://ciml.info/|http://ciml.info/]]
-  * A Youtube video series about deep learning and artificial neural networks: [[https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU|Youtube videos]]
-  * A very nice and comprehensive "Space Science with Python" tutorial: \\ [[https://github.com/ThomasAlbin/SpaceScienceTutorial|https://github.com/ThomasAlbin/SpaceScienceTutorial]]