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Version 41.1 by Judith Steinfeld on 2024/07/29 10:12
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1 == **Learning and Teaching Materials for ErUM-Data-Scientist** ==
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3 {{info}}
4 Are you an ErUM-Data-Scientist who wants to expand your digital skills or do you want to support (young/prospective) ErUM-Scientists in pursuing digital transformation?
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6 With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what.
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8 The collection of existing materials is complemented by our own materials which include for example videos and slides from various workshops and schools organized by the ErUM-Data-Hub in collaboration with DIG-UM with which we reached over 800 participants so far.
9 {{/info}}
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11 Hint Copyright: Please not that the materials are from
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13 {{success width="20%"}}
14 {{displayIcon name="magnifier"/}}Filter Suchfunktion: Semantische Suche und vordefinierte Suchfilter zur Eingrenzung von Suchergebnissen
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17
18 Tabelle
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20 Title - topic (tags) - date - type (PDF, video, link to website) - kind (ttt, school, workshop...) - (author)
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25 Table: [[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro >>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro]]
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29
30 === Basic Concepts ===
31
32 ----
33
34 === **Neural Network Building Blocks** ===
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36 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
37 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
38 ** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
39 * [[Neural Network Building Blocks (1/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105122/DL%20School%20-%20Lecture%201,%20Part%201.pdf]] {{displayIcon name="page_white_acrobat"/}}
40 * (((
41 [[Neural Network Building Blocks (2/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105131/DL%20School%20-%20Lecture%201,%20Part%202.pdf]] {{displayIcon name="page_white_acrobat"/}}
42 )))
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44 === ===
45
46 === **Mastering Model Building** ===
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48 * [[Mastering Model Builing: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]] {{displayIcon name="page_white_acrobat"/}}
49 ** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
50 * [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
51 ** [[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh&regularization=L2&batchSize=10&dataset=gauss&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=25&networkShape=8,8,8,8,8,8&seed=0.88798&showTestData=false&discretize=false&percTrainData=20&x=true&y=true&xTimesY=true&xSquared=true&ySquared=true&cosX=false&sinX=true&cosY=false&sinY=true&collectStats=false&problem=classification&initZero=false&hideText=false]] {{displayIcon name="application_view_list"/}}
52 ** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
53 ** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}}
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55 === ===
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57 === **Convolutional Neural Networks** ===
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59 * [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
60 ** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
61 ** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}}
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63 ----
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65 === ===
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67 === Adcanced Concepts ===
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69 ----
70
71 === **Autoencoder** ===
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73 * test
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75 === **Transformers **(ausklappbar) ===
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77 * test
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79 === **Normalizing Flows (ausklappbar)** ===
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81 * test