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<p>Hallo liebe Madlene,</p>
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<p>das ist super cool! Ich weiss immer noch nciht mit R programmieren und versuche bis dahin ein bischen reinzuschauen.</p>
<p>Aber auch allgemein verstehen, was es im AI Neues gibt und Techniken die ich noch nicht benutzt habe, ist eine tolle Möglichkeit!</p>
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<p>Ich danke dir, dass du solche Austausche ermöglichst,</p>
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<p>LG</p>
<p>Solange<br>
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<div id="x_divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>De :</b> bfh-r-users <bfh-r-users-bounces@lists.bfh.science> de la part de Madlene Nussbaum <madlene.nussbaum@bfh.ch><br>
<b>Envoyé :</b> vendredi, 28 février 2020 18:07:17<br>
<b>À :</b> bfh-r-users@lists.bfh.science<br>
<b>Objet :</b> FR 27.3.2020 - Short Course Machine Learning</font>
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<div class="PlainText"><English below><br>
<br>
<br>
Liebe alle<br>
<br>
Viele haben sich im Doodle eingetragen ;-)<br>
Der ML-Kurs findet statt am:<br>
<br>
FR 27.3.2020 - 10:30-17:00<br>
Wo: A.1.05, HAFL Zollikofen<br>
<br>
Dieser Kurs ersetzt das R User Treffen vom 11.3. Ich sage dieses hiermit ab.<br>
<br>
Schönes Wochenende<br>
Madlene<br>
<br>
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<br>
Dear all<br>
<br>
Many people filled in the Doodle ;-)<br>
The ML course is taking place on<br>
<br>
FR 27.3.2020 - 10:30-17:00<br>
Where: A.1.05, HAFL Zollikofen<br>
<br>
The course replaces the R User meeting of 11.3. This meeting is canceled.<br>
<br>
Take care<br>
Madlene<br>
<br>
<br>
<br>
======= Program =======<br>
<br>
**Short Course: Mastering Machine Learning for Prediction**<br>
<br>
Time: 10:30 - 17:00 Location: presumably HAFL, Zollikofen<br>
<br>
Language lecture: English if requested, else German.<br>
Language materials: English.<br>
<br>
Expected previous knowledge: Basic know-how of simple and multiple linear regression<br>
(ordinary least squares-method).<br>
e.g. catch up by watching these very simple explanatory videos (1 hour on speed 1.25):<br>
<a href="https://www.youtube.com/watch?v=Qa2APhWjQPc">https://www.youtube.com/watch?v=Qa2APhWjQPc</a><br>
<a href="https://www.youtube.com/watch?v=iAgYLRy7e20">https://www.youtube.com/watch?v=iAgYLRy7e20</a><br>
<a href="https://www.youtube.com/watch?v=dQNpSa-bq4M">https://www.youtube.com/watch?v=dQNpSa-bq4M</a><br>
<br>
Please feel free to just join for a part of the course.<br>
<br>
Suggested Schedule<br>
------------------------------<br>
<br>
Morning: Repeat linear regression if needed (self-study)<br>
<br>
10:30 Part I: Introduction and Overview of Machine Learning Methods for Prediction,<br>
Overfitting. Methods in the Context of Supervised Learning: Lasso, Support Vector<br>
Machines, Random Forest, Boosting, Model averaging.<br>
<br>
12:00 Lunch Break (Mensa)<br>
<br>
13:00 Practical training, Exercises Part I<br>
<br>
14:00 Part II: Model Selection and Model Building, Model Interpretation, Prediction<br>
Intervals, Uncertainty, parametric and non-parametric Bootstrap<br>
<br>
15:00 Coffee Break<br>
<br>
15:20 Practical training, Exercises Part II<br>
<br>
16:20 Part III: Model Evaluation, Cross-Validation, Validation Statistics, Good Practice<br>
and Interpretation, R2 vs. r2, Scores for Classification.<br>
-----<br>
<br>
<br>
<br>
-- <br>
bfh-r-users mailing list<br>
bfh-r-users@lists.bfh.science<br>
<a href="https://lists.bfh.science/listinfo/bfh-r-users">https://lists.bfh.science/listinfo/bfh-r-users</a><br>
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