Predicting the future in 10 minutes or less - an introduction to Azure Machine Learning

Predicting the future in 10 minutes or less - an introduction to Azure Machine Learning

1edef7d43832feaa0cb62d8bb2f63a7c?s=128

Vlad Iliescu

May 13, 2017
Tweet

Transcript

  1. Predicting the Future in 10 Minutes or Less

  2. ...a 45-minute presentation by @vladiliescu

  3. What do you mean, “Predict the future”?

  4. Predict the future

  5. Predict the future grades of a student

  6. Predict the future grades of a student at math

  7. Predict the future grades of a student at math using...

  8. a) Divination

  9. b) Statistics

  10. c) Machine Learning

  11. c) Machine Learning A way to write programs that we

    don’t exactly know how to write.
  12. c) Machine Learning A way to write programs that we

    don’t exactly know how to write.
  13. Predict the future grades of a student at math using

    machine learning…
  14. Apache Spark MLlib Microsoft Azure ML Studio Google Prediction API

    Google TensorFlow Amazon Machine Learning Samsung Veles
  15. Microsoft Azure ML Studio

  16. What have we picked so far? ✔ A well-defined problem

    ✔ An approach for predicting the future ✔ A machine learning framework
  17. What are we missing?

  18. The Data

  19. UCI Student Performance Data Set

  20. https://archive.ics.uci.edu/ml/datasets/Student+Performance

  21. G3 - final grade (numeric: from 0 to 20, output

    target)
  22. Ready?

  23. Steady?

  24. GO!

  25. Open the Azure experiment here https://gallery.cortanaintelligence.com/Experiment/Predict-Student-Grades-at-Math (or take a look

    at the following slides)
  26. None
  27. None
  28. None
  29. None
  30. None
  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. What have we done so far? (continued) ✔ Trained&deployed the

    simplest model we could ✔ Consumed the web service using Excel ✔ Learned how to evaluate a trained model
  39. Thanks for watching! Vlad Iliescu ↪vladiliescu.ro