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Python and AWS CSCI 447/547 MACHINE LEARNING Outline Data Buckets Processing Running an ML Algorithm Creating a Notebook Editing the Notebook Python Output Evaluating Results Getting Started in AWS Services

  1. Python and AWS CSCI 447/547 MACHINE LEARNING

  2. Outline  Data  Buckets  Processing  Running an ML Algorithm  Creating a Notebook  Editing the Notebook  Python  Output  Evaluating Results

  3. Getting Started in AWS

  4. Services

  5. Machine Learning – Easy Path

  6. Machine Learning – Easy Path

  7. Machine Learning – Easy Path

  8. Machine Learning – Easy Path

  9. Machine Learning – Easy Path

  10. Machine Learning – Easy Path

  11. Machine Learning – Easy Path

  12. Machine Learning – Easy Path

  13. Machine Learning – Easy Path

  14. Machine Learning – Easy Path

  15. Machine Learning – Easy Path

  16. Machine Learning – Easy Path

  17. Machine Learning – Easy Path

  18. Machine Learning – Easy Path

  19. Jupyter Notebook Tutorial  Notebook Tutorial  Anaconda Download

  20. Creating a Notebook in AWS  Go to SageMaker Console  Create notebook  You will need an IAM role  Go to IAM Console  Mine shows all kinds of errors – ignore these  Click role on left  Accept defaults (for now)  Fine the “ arn …” at top – select and copy this  This goes into the role in the notebook page

  21. Python  Python Language Reference  Python Standard Library  Python Tutorial

  22. Summary  Data  Buckets  Processing  Creating a Notebook  Editing the Notebook  Python  Running an ML Algorithm  Output  Evaluating Results

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