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Version 45.1 by Judith Steinfeld on 2024/07/30 11:31
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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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14 {{displayIcon name="magnifier"/}}Filter Suchfunktion: Semantische Suche und vordefinierte Suchfilter zur Eingrenzung von Suchergebnissen
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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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24 {{documents count="25"/}}
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27 Table: [[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro  >>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro]][[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/>>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/]]
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32 |=title|=topic (tags)|=level|=date|=type|=format|=author
33 |(((
34 [[Introduction to Articifial Networks - Pt.1>>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]]
35 )))|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
36 PDF
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38 {{displayIcon name="page_white_acrobat"/}}
39 )))|lecture|(((
40 Dr. Andrea Santamaria Garcia,
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42 Chenran Xu
43 )))
44 |[[Introduction to Articifial Networks - Pt. 2 >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118960/nns-part2.pdf]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
45 PDF
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47 {{displayIcon name="page_white_acrobat"/}}
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50 )))|lecture, libraries|(((
51 Dr. Andrea Santamaria Garcia,
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53 Chenran Xu
54 )))
55 |[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
56 Link
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58 {{displayIcon name="application_view_list"/}}
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61 )))|tutorial|(((
62 Dr. Andrea Santamaria Garcia,
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64 Chenran Xu
65 )))
66 |[[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]]|neural network building blocks, deep learning|basic|02/2023|(((
67 PDF
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69 {{displayIcon name="page_white_acrobat"/}}
70 )))|lecture|Sebastian Wozniewski
71 |[[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]]|neural network building blocks, deep learning|basic|02/2023|(((
72 PDF
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74 {{displayIcon name="page_white_acrobat"/}}
75 )))|lecture|Sebastian Wozniewski
76 |[[Mastering Model Building: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]]|mastering model building|basic|02/2024|(((
77 PDF
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79 {{displayIcon name="page_white_acrobat"/}}
80 )))|lecture|
81 |[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|(((
82 PDF
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84 {{displayIcon name="page_white_acrobat"/}}
85 )))|tutorial|Dirk Krücker
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90 {{liveData showPageSizeDropdown="false"}}{{/liveData}}
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93 === Basic Concepts ===
94
95 ----
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97 === **Neural Network Building Blocks** ===
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99 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
100 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
101 ** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
102 * [[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"/}}
103 * (((
104 [[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"/}}
105 )))
106
107 === ===
108
109 === **Mastering Model Building** ===
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111 * [[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"/}}
112 ** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
113 * [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
114 ** [[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"/}}
115 ** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
116 ** [[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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118 === ===
119
120 === **Convolutional Neural Networks** ===
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122 * [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
123 ** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
124 ** [[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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126 ----
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128 === ===
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130 === Adcanced Concepts ===
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132 ----
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134 === **Autoencoder** ===
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136 * test
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138 === **Transformers **(ausklappbar) ===
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140 * test
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142 === **Normalizing Flows (ausklappbar)** ===
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144 * test