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Version 37.1 by Judith Steinfeld on 2024/07/26 16:03
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Judith Steinfeld 34.2 1 == **Learning and Teaching Materials for ErUM-Data-Scientist** ==
admin 1.1 2
Judith Steinfeld 23.1 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?
Judith Steinfeld 24.1 5
Judith Steinfeld 23.1 6 With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what.
Judith Steinfeld 24.1 7
Judith Steinfeld 26.1 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.
Judith Steinfeld 23.1 9 {{/info}}
Judith Steinfeld 22.1 10
Judith Steinfeld 34.1 11 Hint Copyright: Please not that the materials are from
Judith Steinfeld 27.1 12
Judith Steinfeld 36.1 13 {{success width="20%"}}
14 {{displayIcon name="magnifier"/}}Filter Suchfunktion: Semantische Suche und vordefinierte Suchfilter zur Eingrenzung von Suchergebnissen
15 {{/success}}
Judith Steinfeld 27.1 16
Judith Steinfeld 35.1 17
Judith Steinfeld 27.1 18 Show all materials
Judith Steinfeld 34.1 19
Judith Steinfeld 35.1 20 [[image:show all abc.png||height="72" width="758"]]
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22 [[image:show all abc 2.png||height="496" width="921"]]
Judith Steinfeld 37.1 23
24
25
26 === Basic Concepts ===
27
28 ----
29
30 === **Neural Network Building Blocks **(ausklappbar) ===
31
32 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
33 * [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
34 ** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
35 * [[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"/}}
36 * (((
37 [[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"/}}
38 )))
39
40 === ===
41
42 === **Mastering Model Building **(ausklappbar) ===
43
44 * [[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"/}}
45 ** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
46 * [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
47 ** [[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"/}}
48 ** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
49 ** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}}
50
51 === ===
52
53 === **Convolutional Neural Networks **(ausklappbar) ===
54
55 * [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
56 ** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
57 ** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}}
58
59 ----
60
61 === ===
62
63 === Adcanced Concepts ===
64
65 ----
66
67 === **Autoencoder **(ausklappbar) ===
68
69 * test
70
71 === **Transformers **(ausklappbar) ===
72
73 * test
74
75 === **Normalizing Flows (ausklappbar)** ===
76
77 * test