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Operationalizing R with Azure ML

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Had a great time discussing Azure ML with the Denver R User Group meeting this evening. We covered ways to use R in Azure ML to clean, transform and process data and to build machine learning models. This is a great meetup if you have a chance to attend a future meeting!

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Operationalizing R with Azure ML

  1. 1. Operationalizing R with Azure Machine Learning
  2. 2. Agenda Intro Azure ML Studio Using R ML Studio Publish Web Service Other Features Getting Started
  3. 3. Why Azure ML ? Start in minutes No hardware or installation Only need a browser Use existing R code One-click publishing Use what you need
  4. 4. “A breakthrough in Machine Learning would be worth TEN Microsoft’s.” –Bill Gates
  5. 5. Demo: ML Studio
  6. 6. Demo: Execute R
  7. 7. Demo: R Model
  8. 8. Demo: Publish a Service
  9. 9. More … OOTB Algorithms & APIs Create an Custom Module AzureML R Package Programatic Retraining Gallery & Marketplace
  10. 10. OOTB Algoritms
  11. 11. Microsoft APIs
  12. 12. Create Custom R Module
  13. 13. Retraining
  14. 14. Gallery
  15. 15. Marketplace
  16. 16. Getting Started https://studio.azureml.net
  17. 17. Free vs. Standard
  18. 18. Pricing
  19. 19. Questions ? Contact Info: mchenry19@gmail.com @CAMCHENRY http://cmchenry.com http://www.linkedin.com/in/cmchenry https://plus.google.com/+chrismchenry
  20. 20. Backups
  21. 21. Experiments
  22. 22. New Experiment
  23. 23. Web Services
  24. 24. Notebooks
  25. 25. Datasets
  26. 26. Trained Models
  27. 27. Settings
  28. 28. Execute R - Graphics
  29. 29. Execute R - Visualize
  30. 30. Execute R - Histogram
  31. 31. Execute R - Box Plot
  32. 32. Execute R - Data Cleaning
  33. 33. Execute R - Graphics
  34. 34. Execute R - Output
  35. 35. PCA in R
  36. 36. PCA - R Code
  37. 37. PCA Results
  38. 38. PCA Graphic
  39. 39. R Model
  40. 40. Split Module
  41. 41. R Training Model
  42. 42. R Scoring Model
  43. 43. R Model Python Eval
  44. 44. R Model Evaluate
  45. 45. R Model ROC Curve
  46. 46. R Model Create Scoring
  47. 47. R Model Scoring Exp
  48. 48. R Model Scoring Results
  49. 49. R Model Publish
  50. 50. R Model Service
  51. 51. R Model Req/Resp
  52. 52. R Model Sample Code
  53. 53. Invoking R Model
  54. 54. Testing a Web Service

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