Wiki source code of Material Collection
Version 46.1 by Judith Steinfeld on 2024/07/30 11:46
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1 | == **Learning and Teaching Materials for ErUM-Data-Scientist** == | ||
2 | |||
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? | ||
5 | |||
6 | With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what. | ||
7 | |||
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}} | ||
10 | |||
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 | ||
15 | {{/success}} | ||
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17 | |||
18 | Tabelle | ||
19 | |||
20 | Title - topic (tags) - date - type (PDF, video, link to website) - kind (ttt, school, workshop...) - (author) | ||
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23 | |||
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 | |||
37 | |||
38 | {{displayIcon name="page_white_acrobat"/}} | ||
39 | )))|lecture|((( | ||
40 | Dr. Andrea Santamaria Garcia, | ||
41 | |||
42 | Chenran Xu | ||
43 | |||
44 | ARBEITSGRUPPE | ||
45 | ))) | ||
46 | |[[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|((( | ||
47 | |||
48 | |||
49 | {{displayIcon name="page_white_acrobat"/}} | ||
50 | |||
51 | |||
52 | )))|lecture, libraries|((( | ||
53 | Dr. Andrea Santamaria Garcia, | ||
54 | |||
55 | Chenran Xu | ||
56 | ))) | ||
57 | |[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks, pytorch|basic|02/2024|((( | ||
58 | Link | ||
59 | |||
60 | {{displayIcon name="application_view_list"/}} | ||
61 | |||
62 | |||
63 | )))|tutorial, hands-on, excercises|((( | ||
64 | Dr. Andrea Santamaria Garcia, | ||
65 | |||
66 | Chenran Xu | ||
67 | ))) | ||
68 | |[[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|((( | ||
69 | |||
70 | |||
71 | {{displayIcon name="page_white_acrobat"/}} | ||
72 | )))|lecture|Sebastian Wozniewski | ||
73 | |[[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|((( | ||
74 | |||
75 | |||
76 | {{displayIcon name="page_white_acrobat"/}} | ||
77 | |||
78 | |||
79 | )))|lecture|Sebastian Wozniewski | ||
80 | |[[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|((( | ||
81 | |||
82 | |||
83 | {{displayIcon name="page_white_acrobat"/}} | ||
84 | )))|lecture|Dirk Krücker | ||
85 | |[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|((( | ||
86 | |||
87 | |||
88 | ((( | ||
89 | {{displayIcon name="page_white_acrobat"/}} | ||
90 | ))) | ||
91 | )))|tutorial, hands-on, excercises|Dirk Krücker | ||
92 | |((( | ||
93 | [[Mastering Model Building>>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]] | ||
94 | |||
95 | |||
96 | )))|mastering model building|basic|02/2023|((( | ||
97 | |||
98 | |||
99 | {{displayIcon name="page_white_acrobat"/}} | ||
100 | )))|lecture|Niclas Eich | ||
101 | |((( | ||
102 | [[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh®ularization=L2&batchSize=10&dataset=gauss®Dataset=reg-plane&learningRate=0.03®ularizationRate=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]] | ||
103 | )))|mastering model building, tenserflow|basic|02/2023|((( | ||
104 | Link | ||
105 | |||
106 | {{displayIcon name="application_view_list"/}} | ||
107 | )))|tutorial, hands-on, excercises|((( | ||
108 | Niclas Eich | ||
109 | ))) | ||
110 | |((( | ||
111 | [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] | ||
112 | )))|mastering model building, mass-regression|basic|02/2023|((( | ||
113 | Link | ||
114 | |||
115 | {{displayIcon name="application_view_list"/}} | ||
116 | )))|tutorial, hands-on, excercises|Niclas Eich | ||
117 | |[[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]]|mastering model building, jet-flavour classification|basic|02/2023|((( | ||
118 | Link | ||
119 | |||
120 | {{displayIcon name="application_view_list"/}} | ||
121 | )))|tutorial, hands-on, excercises|Niclas Eich | ||
122 | |[[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]]|convolutional neural networks|basic|02/2024|((( | ||
123 | |||
124 | |||
125 | {{displayIcon name="page_white_acrobat"/}} | ||
126 | )))|lecture|Stephanie Käs | ||
127 | |((( | ||
128 | [[Exercises - Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] | ||
129 | |||
130 | [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] | ||
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133 | )))|convolutional neural networks|basic|02/2024|((( | ||
134 | |||
135 | |||
136 | {{displayIcon name="page_white_acrobat"/}} | ||
137 | )))|tutorial, hands-on, excercises|Stephanie Käs | ||
138 | | | | | | | | | ||
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140 | {{liveData showPageSizeDropdown="false"}}{{/liveData}} | ||
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145 | === === | ||
146 | |||
147 | === Adcanced Concepts === | ||
148 | |||
149 | ---- | ||
150 | |||
151 | === **Autoencoder** === | ||
152 | |||
153 | * test | ||
154 | |||
155 | === **Transformers **(ausklappbar) === | ||
156 | |||
157 | * test | ||
158 | |||
159 | === **Normalizing Flows (ausklappbar)** === | ||
160 | |||
161 | * test |