The document outlines various technological applications and tools including data preprocessing, power BI integration with VS Code, and the use of TensorFlow for machine learning implementations. It discusses graph visualization with Graphviz, including a C# wrapper for generating graphs, and provides examples and resources for users, including links to related materials. Additionally, it highlights Jupyter Notebook usage within VS Code and offers a sample code for downloading datasets.

1. 1
ML VSCode
Vision
10 Writeln 'Hi AI';
20 Goto 10;

2. 2
Agenda BASTA 2020
• Data Preprocessing versus Regularization
• SonarLint in VS Code
• GraphViz (dot) language support, a C# wrapper
for GraphViz graph generator for dotnet core.
• MS Power BI (VS Code / Jupyter Notebook)
• Installation, Optimisation & Sources

3. 3
Machine Learning
http://docs.codehaus.org/display/SONAR/Plugin+Library

4. 4
Develop for Multiple Devices
https://www.tensorflow.org/

5. 5
Now Demo: TensorFlowTest64.dproj

6. 6
Data Truth

7. 7
Water Pump Demo
• Barchart (Histograms, Maps, Plot)
• Confusion Matrix
• PieChart, Density Plot
• TensorFlow 1.5.0 → Demo Python, dotnet core
•
https://github.com/maxkleiner/maXbox/blob/master/waterpumpspredictor2.ipynb
GraphViz-C-Sharp-Wrapper Demo:
https://sourceforge.net/projects/maxbox/files/Examples/EKON/BASTA2020/visout.zip/download
https://github.com/helgeu/GraphViz-C-Sharp-Wrapper

8. 8
Visualise Model
NN:= TFannNetwork.create(self)
with NN do begin
Layers.add('2')
Layers.add('3')
Layers.add('1')
LearningRate:= 0.699999988079071100
ConnectionRate:= 1.000
TrainingAlgorithm:= taFANN_TRAIN_RPROP
ActivationFunctionHidden:= afFANN_SIGMOID
ActivationFunctionOutput:= afFANN_SIGMOID
end;

9. 9
Graph Viz

10. 10
Graphviz
Graphviz is open source graph visualization software.
Graph visualization is a way of representing structural
information as diagrams of abstract graphs and
networks.
It has important applications in networking,
bioinformatics, software engineering, database and web
design, machine learning, and in visual interfaces for
other technical domains. Open In Colab
https://colab.research.google.com/github/maxkleiner/maXbox/blob/master/Copy_of_simple_image_classification_with_any_dataset.ipynb
https://colab.research.google.com/github/maxkleiner/
maXbox/blob/master/Copy_of_simple_image_classificat
ion_with_any_dataset.ipynb

11. 11
GraphViz-C-Sharp-Wrapper
• using System.Collections;
• using System.Runtime.InteropServices;
• using GraphVizWrapper;
• using GraphVizWrapper.Commands;
• using GraphVizWrapper.Queries;
• using Graphviz4Net.Graphs;
• using System.Drawing.Imaging;
• using System.Drawing;
• using System.Drawing.Drawing2D;
• using System.IO; //memory stream
http://docs.codehaus.org/display/SONAR/Developers%27+Seven+Deadly+Sins

12. 12
MS Power BI

13. 13

14. 14
3D or 4D ?

15. 15
https://colab.research.google.com/github/maxkleiner/maXbox/blob/master/EKON24_SimpleImageClassificationCPU.ipynb
classes=('plane','car','bird','cat',
'deer','dog','frog','horse','ship','truck')

16. 16
Win 10 Core Optimisation
CPU or GPU or TPU?

17. 17
Save resized files local
• import os
• import urllib.request
• import tarfile
•
• if not os.path.isfile('cifar-10-batches-bin/data_batch_1.bin'):
• print("Downloading CIFAR-10 Files")
• url = 'https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz'
• urllib.request.urlretrieve(url, './file.tar')
•
• tar = tarfile.open("file.tar")
• tar.extractall()
• tar.close()

18. 18
Jupyter in VS Code
https://maxbox4.wordpress.com/2020/01/26/jupyter-in-visual-studio-code/

19. 19
Links & Sources
• Almost all files:
• https://www.sonarlint.org/vscode/
• https://www.graphviz.org/resources/
• https://powerbi.microsoft.com/en-us/
•
• https://sourceforge.net/projects/maxbox/files/Examples/EKON/EKON24/
•
• https://maxbox4.wordpress.com/blog/
•
• https://github.com/maxkleiner/maXbox4/releases
•

20. 20
May the source be with you!
max@kleiner.com
www.softwareschule.ch