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!

1. Operationalizing R
with Azure Machine Learning

2. Agenda
Intro
Azure ML Studio
Using R ML Studio
Publish Web Service
Other Features
Getting Started

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. “A breakthrough in Machine Learning
would be worth TEN Microsoft’s.”
–Bill Gates

5. Demo: ML Studio

6. Demo: Execute R

7. Demo: R Model

8. Demo: Publish a Service

9. More …
OOTB Algorithms & APIs
Create an Custom Module
AzureML R Package
Programatic Retraining
Gallery & Marketplace

10. OOTB Algoritms

11. Microsoft APIs

12. Create Custom R Module

13. Retraining

15. Gallery

16. Marketplace

17. Getting Started
https://studio.azureml.net

18. Free vs. Standard

19. Pricing

20. Questions ?
Contact Info:
mchenry19@gmail.com
@CAMCHENRY
http://cmchenry.com
http://www.linkedin.com/in/cmchenry
https://plus.google.com/+chrismchenry

21. Backups

22. Experiments

23. New Experiment

24. Web Services

25. Notebooks

26. Datasets

27. Trained Models

28. Settings

29. Execute R - Graphics

30. Execute R - Visualize

31. Execute R - Histogram

32. Execute R - Box Plot

33. Execute R - Data Cleaning

34. Execute R - Graphics

35. Execute R - Output

36. PCA in R

37. PCA - R Code

38. PCA Results

39. PCA Graphic

40. R Model

41. Split Module

42. R Training Model

43. R Scoring Model

44. R Model Python Eval

45. R Model Evaluate

46. R Model ROC Curve

47. R Model Create Scoring

48. R Model Scoring Exp

49. R Model Scoring Results

50. R Model Publish

51. R Model Service

52. R Model Req/Resp

53. R Model Sample Code

54. Invoking R Model

55. Testing a Web Service