[hemmerling] Data Processing 7/7 - Machine Learning

Related pages:

• Data Processing 1/7 - Databases, Webserver, Webservices, SQL, XML.
• Data Processing 2/7 - Descriptions of Data, Data Transfer and Data Protocols.
• Data Processing 3/7 - NoSQL Databases: Not Just SQL.
• Data Processing 4/7 - Database Managment Tools and Database Application Development Tools.
• Data Processing 5/7 - Business Intelligence.
• Data Processing 6/7 - Data Warehouse Modeling.
• Data Visualisation with Infographics.
• Mathematical Engineering.

• Leibniz Universität Hannover.
  • L3S, Hannover.
  • Applied Machine Learning Academy ( AMA ), contact@ama-academy.eu, Hannover.
    • Crew members:
      • Forschungszentrum L3S, Hannover.
      • Sergej Zerr, XING "Dr. Sergej Zerr", LinkedIn "Sergej Zerr", Facebook "Sergej Zr", Twitter "SergejZr, @sergejzr" ( #AMASCHNUPPERTAGDATASCIENCE2019 ).
      • Markus Rokicki, XING "Markus Rokicki".
  • Applied Machine Learning Academy ( AMA ) "Veranstaltungen" - Current list of scheduled events, including student events. No navigation to this page!
  • Applied Machine Learning Academy ( AMA ) "Teilnahme / Kurse" - Current list of scheduled official events. Navigation to this page by the main menu.
  • L3S "AMA-Kurs", L3S "AMA-Kurs" - Non-public course page. This page changes with every course day.
• Universität Hildesheim.
  • HAISEM Lab, Hildesheim ( without “www.” ) - “KI-Labor zur methodischen Entwicklung von performanten KI-Anwendungen für moderne Hardware-Architekturen”.
    • Universität Hildesheim "HAISEM-Lab: Software-Engineering für KI-Anwendungen" - BigBlueButton webinar platform #1 ( 2020 - 2021 ).
    • Universität Hildesheim "HAISEM-Lab: Software-Engineering für KI-Anwendungen" - BigBlueButton webinar platform #2 ( 2021-03-25 ).
    • Universität Hildesheim "HAISEM-Lab: Software-Engineering für KI-Anwendungen" - BigBlueButton webinar platform #3 ( 2021-05-26 - 2021-05-27 ).
    • Universität Hildesheim "HAISEM-Lab: Software-Engineering für KI-Anwendungen" - BigBlueButton webinar platform #3 ( 2021-06-17 - 2021-06-18 ).
    • Forschungszentrum L3S "HAISEM-Lab: Im September finden drei Webinare zu KI-Hard- und -Software statt ", 2020 - “Wer sich vor dem HAISEM-Lab-Kurs 'Software Engineering von KI-Anwendungen' noch über Grundlagen im Software-Engineering informieren möchte, kann sich gerne beim Schwesterprojekt UpgradeIT (http://www.upgrade-it-wissen.de/) in einen Kurs einschreiben, der am 27. und 28. August stattfinden wird”.

• Applied Machine Learning Academy ( AMA ) "Regionalkonferenzen" in Hannover, 2018-04-13, 2019-03-18, 2019-10-11.
  • Applied Machine Learning Academy ( AMA ) "Regionalkonferenz: 'Maschinelles Lernen für die Intelligente Produktion'", 2018-04-13.
  • Applied Machine Learning Academy ( AMA ) "Regionalkonferenz Data Science in der Industrie: Umsetzung, Recht und Ethik", 2019-03-18.
  • Applied Machine Learning Academy ( AMA ) "Regionalkonferenz Maschinelles Lernen in der Industrie: Moderne Ansätze, 2019-10-11.
  • Intelligente Mobilität 2020 in Hannover, 2020-02-20.
    • Intelligente Mobilität 2020 "Programm".
  • Applied Machine Learning Academy ( AMA ) "GPU, TPU, Edge & Co: Wege durch den Hardware-Dschungel für Ihre KI-Anwendung", 2020-04-27.
  • Applied Machine Learning Academy ( AMA ) "Webinar: Regionalkonferenz: Intelligente Systeme: Eine Herausforderung für das moderne Software Engineering?. Virtuell", 2021-07-16 - My participation was rejected .

1. Applied Machine Learning Academy ( AMA ) "Einführung in Maschinelles Lernen", 2018-10-10.
   • Google Docs "ML1 Inroduction to ML", Google Docs "ML1 Inroduction to ML".
2. Applied Machine Learning Academy ( AMA ) "Hands On Machine Learning", 2018-10-11.
   • Redwhale "Essential Cheat Sheets for Machine Learning and Deep Learning Engineers", Redwhale "Essential Cheat Sheets for Machine Learning and Deep Learning Engineers".
3. Applied Machine Learning Academy ( AMA ) "Machine Learning für Industrie 4.0 – Eine Einführung", 2019-02-21.
   • Google Drive "MLI1".
4. Applied Machine Learning Academy ( AMA ) "Rechtliche Aspekte der Nutzung von Big Data", 2019-03-14.
5. Applied Machine Learning Academy ( AMA ) "Einführung in Data Science", 2019-03-14 and 2019-03-21.
   • Google Docs "ML5 Introduction to DS".
6. Applied Machine Learning Academy ( AMA ) "Rechtliche Aspekte der Nutzung von Big Data", 2019-06-07.
7. Applied Machine Learning Academy ( AMA ) "Visual Analytics – Prinzipien und Methoden", 2019-06-13 - 2019-06-14.
   • Google Docs "AMA_VA".
8. Applied Machine Learning Academy ( AMA ) "Intelligente Prozessüberwachung", 2019-06-27.
   • Google Docs "MLI1".
9. Applied Machine Learning Academy ( AMA ) "Machine Learning für Industrie 4.0 – Eine Einführung", 2019-07-25.
   • Google Drive "MLI1".
10. Applied Machine Learning Academy ( AMA ) "Programmiersprachen und Frameworks für Data Science", 2019-10-01.
11. Applied Machine Learning Academy ( AMA ) "Programmiersprachen und Frameworks für Data Science", 2019-10-08.
    • ICAML, Jupyter Notebook "Programmiersprachen und Frameworks für Data Science"
12. “Neuronale Netze & Deep Learning”
    1. Applied Machine Learning Academy ( AMA ) "Neuronale Netze & Deep Learning" in English for students, 2019-10-16 & 2019-10-18.
    2. Applied Machine Learning Academy ( AMA ) "Neuronale Netze & Deep Learning", 2019-10-30 & 2019-11-01.
       • Google Drive "Deep Learning".
       • L3S Download "Deep Learning".
    3. Applied Machine Learning Academy ( AMA ) "Neuronale Netze & Deep Learning", 2020-01-20 - 2020-01-21.
13. Applied Machine Learning Academy ( AMA ) "Software-Engineering für KI-Anwendungen", 2020-09-10 - 2020-09-11.
    • Google Docs "SE01", Google Docs "SE01".
14. Applied Machine Learning Academy ( AMA ) "FPGA- Hardwarearchitekturen für KI", 2020-09-21 - 2020-09-22.
    • Google Drive "FPGA-Architekturen für KI".
      • EDA Playground.
        1. EDA Playground "Half Adder Task".
        2. EDA Playground "Akkumulation".
        3. EDA Playground "Fuller Adder Task".
        4. EDA Playground "ReLU Task".
        5. EDA Playground "Zähler Task".
      • University of Maryland Baltimore County, Computer Science and Electrical Engineering Department, CSEE HELP pages.
      • University of Maryland Baltimore County, Computer Science and Electrical Engineering Department, CSEE HELP pages "VHDL reference material".
      • University of Maryland Baltimore County, Computer Science and Electrical Engineering Department, CSEE HELP pages "Standard VHDL Synthesis Package (1076.3, NUMERIC_STD)".
      • Some neuronal nets.
        • LeFlow.
          • GitHub "danielholanda / LeFlow"-
            • “Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks”.
            • How to run: Download of a VirtualBox image & install some additional tool.
            • OpenVINO.
        • Embedded systems with FPGAs.
          • Bottlenecks for neuronal nets on FPGAs:
            1. RAM.
            2. Number of decided multipliers.
            3. ( Number of gates ).
          • Solutions:
            • “Small” neuronal nets for embedded systems, for standard boards:
              • yolo-lite
              • yolo-tiny
              • mobilenet
          • Boards with tensor processing units ( TPU ).
            • Coral "USB Accelerator".
15. Applied Machine Learning Academy ( AMA ) "Best Practices zur KI Optimierung", 2020-09-28.
    • Google Drive "AI-Best Practice".
    • Software platforms.
      • Google Colab ( Colaboratory ).
      • Anaconda 64-bit, for Python 3.
16. Applied Machine Learning Academy ( AMA ) "GPU, TPU, Edge & Co: Wege durch den Hardware-Dschungel für Ihre KI-Anwendung", 2020-11-27.
17. Applied Machine Learning Academy ( AMA ) "Applied Time Series Analysis", 2021-01-27.
    • BBB HAISEM-Lab ( URL was printed at the bottom of the registration page ).
    • Google Drive "Applied Time Series Analysis".
    • “Umfrage zum Qualifikationsbedarf im Bereich “Maschinelles Lernen” Lernens (ML) in der Wirtschaft” ⇒ “2. E-Mail (Optional, geben Sie bitte an, wenn Sie frühzeitigen Zugang zu den MACHINA-Lernmaterialien und dem Online-Kursen haben möchten)”
    • Software platforms.
      • Google Colab ( Colaboratory ).
      • Anaconda 64-bit, for Python 3.
      • 365datascience "Comparing Higher-Lag AR Models".
18. Applied Machine Learning Academy ( AMA ) "Beschleunigung von KI-Anwendungen mit Tensor Processing Units", 2021-02-26.
    • Google Docs "Beschleunigung von KI-Anwendungen mit Tensor Processing Units".
    • Google Colab "colab_02_mnist.ipynb" - “MNIST data set”.
    • Google Colab "Haisem MNist Demo.ipynb" - “Erkennung handschriftlicher Zahlen mit tensorflow”.
    • Google Colab "01_haisem_tpu_init.ipynb".
    • Google Colab "02_haisem_tpu_inference.ipynb".
    • Google Colab "03_haisem_training_tpu_gpu_cpu.ipynb".
    • Tensorflow "Save and load Keras models". The result ist a ”.h5” file ( or alternatively a ”.pb” file, depends on the Tensorflow version ). There are tutorials how to write a convertion file to make the ”.h5” / ”.pb” file ready to be used on a coral edge TPUs.

    • model.save('mnist_model', overwrite=True, include_optimizer=True)
      from google.colab import files
      !zip -r ./mnist_model.zip ./mnist_model
      files.download("mnist_model.zip")

19. Applied Machine Learning Academy ( AMA ) "Software-Architekturen für Künstliche Intelligenz Anwendungen", 2021-03-25 - 2021-03-26.
    • Google Drive "Software-Architekturen für Künstliche Intelligenz Anwendungen".
    • HAISEM-Lab "JupyterLab".
    • “Attribute-Driven Design” ( ADD ) ⇒ See System Design.
    • “Architecture Tradeoff Analysis Method” ( ATAM ) ⇒ See System Design.
    • Advertising of the forthcoming Python course at UpgradeIT, Universität Hildesheim.
20. Applied Machine Learning Academy ( AMA ) "Die richtige Wahl der Hardware für Ihre KI-Anwendung" ( “Haisem Kurs: Hardware auswählen” ), 2021-05-12, 2021-05-19.
21. Applied Machine Learning Academy ( AMA ) "Reinforcement Learning", 2021-05-26 - 2021-05-27.
    • Google Drive "RL_Course".
    • FrozenLake.
      • OpenAI Gym "FrozenLake-v0".
        • OpenAI Gym "Getting Started with Gym".
          • Environment “FrozenLake-v0”.
      • Deeplizard "Reinforcement Learning - Goal Oriented Intelligence" - "OpenAI Gym and Python set up for Q-learning".
    • Taxi.
      • OpenAI Gym "Taxi-v3".
        • Environment “Taxi-v3”.
      • LearnDataSci "Reinforcement Q-Learning from Scratch in Python with OpenAI Gym".
    • CartPole.
      • OpenAI Gym "CartPole-v0".
        • OpenAI Gym "Getting Started with Gym".
          • Environment “CartPole-v0”.
      • Keras "The Sequential model".
    • SpaceInvadors.
      • OpenAI Gym "SpaceInvaders-v0".
        • OpenAI Gym "Getting Started with Gym".
          • Environment “SpaceInvaders-v0”.
22. Applied Machine Learning Academy ( AMA ) "Programmiermethoden für KI/Python" / "Programmierbarkeit für KI/Python" / "Programmierbarkeits-Kurs Python", 2021-06-17 - 2021-06-18.
    • Google Drives "SE01: Softwareengineering".
    • Google Drives "Skript".
    • HAISEM Lab "JupyterHub" - “HAISEM DGX-1”. Username; PW ”ha!Part3021”.
    • Python exercise 2 - The Python Standard Library "json — JSON encoder and decoder".
    • Python exercise 3 - NumPy Manual "Indexing".
    • Python exercise 4 - Matplotlib "matplotlib.pyplot.plot".
    • AI exercise 2 - Scikit learn "sklearn.neighbors. KNeighborsRegressor".
    • Contact to the team: 1) Leonhard Faubel, faubel@sse.uni-hildesheim.de, 2) wenzelc@sse.uni-hildesheim.de.
23. Applied Machine Learning Academy ( AMA ) "Spezialhardware in der Serverinfrastruktur", 2021-08-25 - No participation .
24. Applied Machine Learning Academy ( AMA ) "Performance Lab", 2021-11-19 - No participation .
25. Applied Machine Learning Academy ( AMA ) "Performance Engineering & Tuning für KI-Anwendungen", 2022-01-31 - 2022-02-01 - No participation .
26. Applied Machine Learning Academy ( AMA ) "Labor Anwendungsspezifische Prozessorarchitekturen für KI" ( onside, in Hildesheim ), 2022-02-15 - No participation .
27. Applied Machine Learning Academy ( AMA ) "AI Applications on Mixed Hardware" by Institut für Mikroelektronische Systeme ( IMS ), 2022-02-17 - I participated .
    • Google Drive "KI Anwendungen auf gemischter Hardware".
    • RapidMiner.
    • LF AI & Data Foundation Interactive Landscape.
    • Books about FPGA:
      • Andrew Moore: “FPGAs For Dummies, 2nd Intel Special Edition”.
      • FreeComputerBooks "Andrew Moore: FPGAs for Dummies (Intel and Altera Special Edition)".
      • Steve Kilts "Advanced FPGA Design: Architecture, Implementation, and Optimization", 2007.
28. Applied Machine Learning Academy ( AMA ) "Low-Code und No-Code für KI-Anwendungen" ( onsite in Hildesheim ? ), 2022-03-04 - No participation .
29. Applied Machine Learning Academy ( AMA ) "Entwicklung einer AI Anwendung auf unterschiedlicher Hardware" by Institut für Mikroelektronische Systeme ( IMS ), 2022-03-24 - I participated .
    • Google Colab.
    • Google Drive "HW07".
    • Google Drive "data" - Cats & dogs.
    • Google Images "Open Images Dataset V6 + Extensions".
    • Voxel51 "FiftyOne" - “Rapid Data & Model Experimentation”.
    • Lutz Roeder's NETRON.
    • EN.Wikipedia "Open Neural Network Exchange", DE.Wikipedia "ONNX".
30. Applied Machine Learning Academy ( AMA ) "Hands On ML-Labor" of L3S, 2022-04-01 - I participated .
    • Lecturer: Mrs. Raneen Younis, LinkedIn "Raneen Younis", younis@l3s.de.
    • Google Drive "Hands_on_ML".
    • DataScienceCentral "Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning”.
31. Applied Machine Learning Academy ( AMA ) "Tuning-Labor für KI-Anwendungen", 2022-04-08 - No participation?.

• UpgradeIT, Universität Hildesheim.
  • UpgradeIT "Gestaltung und Konzeption von Chatbots", 2021-03 - I missed .
  • UpgradeIT "Python Boot Camp", 2021-06-03 - 2021-06-04. Contact Sascha El-Sharkawy, XING "Sascha El-Sharkawy".
    • Uni Hildesheim "Learnweb-Wiki" / "E-Moodle".
      • Uni Hildesheim "E-Moodle", Kurs "Upgrade-IT: Python Boot Camp".
    • Uni Hildesheim, BigBlueButton "Upgrade-IT: Seminarraum".
    • Suggested tools:
      • QT "Download".
        • QT "Download for open source users" - “Download the QT Online Installer”.
          • [x]QT 5.15.2.
            • [x] MinGW 8.1.0 (64 bit) only!
          • [x]Developer and Designer Tools.
      • Pypi "PyQt5" - “PyQt5 is a comprehensive set of Python bindings for Qt v5”. “pip install PyQt5” ⇒ NOT shipped with Anaconda .
      • Pypi "QtPy" - “QtPy: Abstraction layer for PyQt5/PyQt4/PySide2/PySide”. “pip install QtPy” ⇒ Shipped with Anaconda .
      • PyInstaller, PyPi "pyinstaller" to create executables. “pip install pyinstaller” .
        • “pyinstaller -n “QTDemo” -w -F main.py”.
      • “pandas”, “numpy”, “matplotlib”, “seaborn” ⇒ Shipped with Anaconda.
      • For this Python workshop, as of 2021-06, QT6 would be the WRONG choice, due to missing Python support!
  • UpgradeIT "Efficient Variability Management", 2021-09-16 - 2021-09-17.

• Intel "Intel AI Processors".

• The free hands-on Workshop “Intel AI Developer Hands-On Workshop” by Intel as part of the conference and exhibition OOP in München, 2020-02-05.
• The free online webinar “Artificial Intelligence on Intel Platforms using Intel oneAPI AI Analytics Toolkit & OpenVINO”
  • SIGS DATACOM GmbH "Artificial Intelligence on Intel Platforms using Intel oneAPI AI Analytics Toolkit & OpenVINO", 2021-06-15.
  • CodeMatters "AI on Intel Platforms using Intel oneAPI AI Analytics Toolkit & OpenVINO" - Agenda !!!
  • Intel DevCloud "OneAPI" - Registration & Login.

• DifferenceBetween "Difference Between AI Processor and Normal Processor".

• OpenLearning.
  • Machine Leaerning Skills for ICT Professionals ( MACHINA ) - “Welcome to MACHINA VOOC! We hope you will have a wonderful time and learn a lot about Machine Learning”.
  • OpenLearning Help".
• AMA-NEWS newsletter, 2022-05-26: “Das MACHINA-Projekt, das durch das Erasmus+ Programm finanziert wird, bietet einen Online-Kurs über maschinelles Lernen (ML) an, der vom 9. Mai bis zum 3. Juni 2022 als Pilotprojekt durchgeführt wird. Der MACHINA MOOC ist ein aktueller, modularer Kurs für IKT-Fachleute, die ihre Fähigkeiten, ihr Wissen und ihre Kompetenzen in Bezug auf Methoden des maschinellen Lernens (ML) und praktische Anwendungen verbessern möchten”.

• Free AI online on-demand training course Elements of AI by University of Helsinki.
  • Twitter - Search for "#ElementsofAI".
  • Twitter - Search for "#KIChallenge".

• Vogel Communications Group "B2B-Conferences".
• Deutsche Messe Technology Academy,
  • Deutsche Messe Technology Academy "Veranstaltungen".
    • The free online event Deutsche Messe Technology Academy "Online-Event: Künstliche Intelligenz in der Produktion", 2021-02-11 - 2021-02-12.
• mindsquare AG, Bielefeld.
  • Free webinar Mindsquare "Live-Webinar: Künstliche Intelligenz – Grundlagen und Best Practices", Mindsquare - Recorded webinar "Künstliche Intelligenz – Grundlagen und Best Practices", 2021-01-26, 10:00.
  • Free webinar Mindsquare "Live-Webinar: Künstliche Intelligenz im Handel: Wie Sie Ihre Kundenkommunikation optimieren", Mindsquare - Recorded webinar "Künstliche Intelligenz im Handel: Wie Sie Ihre Kundenkommunikation optimieren", 2021-02-16, 10:00

• Applied Machine Learning Academy ( AMA ) "Leibniz-Symposium 'Maschinelles Lernen – Intelligente Digitalisierung'" in Hannover, 2018-05-24.
• The commercial virtual conference Edge AI & Industrial Edge, 2020-09-22 -2020-09-23 - “für Edge AI /Edge Analytics, Embedded KI und Industrial Edge”.

• IIP-Ecosphere - Next Level Ecosphere for Intelligent Industrial Production.
  • IIP-Ecosphere - Next Level Ecosphere for Intelligent Industrial Production "Veranstaltungen".
  • IIP-Ecosphere - Next Level Ecosphere for Intelligent Industrial Production "Ergebnisse".
    • Sauer, Christian; Eichelberger, Holger; Ahmadian, Amir Shayan; Dewes, Andreas; Jürjens, Jan “Aktuelle Industrie 4.0 Plattformen – Eine Übersicht Whitepaper”.
      • IIP-Ecosphere "IIP-Ecosphere Whitepaper. Aktuelle Industrie 4.0 Plattformen –Eine Übersicht" ( PDF ).
  • Twitter "iip-ecosphere.de, @de_iipecosphere" - “Projekt IIP-Ecosphere im BMWi. Ideenwettbewerb Künstliche Intelligenz”.
• Online event “IIP-Ecosphere Open Core”, 2021-06-24, 9:00-12:00 - I was rejected .
  • IIP-Ecosphere "Virtuelle Workshops am 24. Juni: IIP-Ecosphere lädt KI-Interessierte zum Austausch ein".
  • Deutsche Messe Technology Academy "IIP-Ecosphere Open Core. Expertenaustausch intelligente Produktion - Einstiegsworkshops zu den IIP-Ecosphere Communities of Practice".
  • I participated in the workshop “WS 2: IIoT-Schnittstellen zur niedrigschwelligen Datenerfassung”.

• YouTube "HAISEM Lab".

• ANN.
  • EN.Wikipedia "Artificial neural network" ( ANN ), DE.Wikipedia "Künstliches neuronales Netz" ( KNN ).
  • ErfolgsAnleger "Reichtum durch [ANN] – die 'Wunderdroge' für die Wirtschaft des 21. Jahrhunderts"
• DataScienceCentral "Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning”.