Advanced R Analytics in SS2016 Using R Tools for Visual Studio

Advanced R Analytics in SS2016 Using R Tools for Visual Studio

PASS Data Community Summit via YouTube Direct link

Four Big Challenges

11 of 44

11 of 44

Four Big Challenges

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Classroom Contents

Advanced R Analytics in SS2016 Using R Tools for Visual Studio

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  1. 1 Introduction
  2. 2 Questions
  3. 3 Sponsors
  4. 4 Explore PASS
  5. 5 About the speaker
  6. 6 Background
  7. 7 Why predictive analytics
  8. 8 Predictive analytics in every industry
  9. 9 Adoption of predictive analytics
  10. 10 Reality Bites
  11. 11 Four Big Challenges
  12. 12 Three Step Process
  13. 13 Problem of the Team
  14. 14 Performance
  15. 15 Tools for Visual Studio
  16. 16 Download
  17. 17 Features
  18. 18 Demos
  19. 19 Example Problem
  20. 20 Traditional GUI
  21. 21 Rich IDE
  22. 22 ODBC
  23. 23 Packages
  24. 24 Accessing Data
  25. 25 Remote Execution Context
  26. 26 Parallelized Algorithms
  27. 27 Feature Engineering
  28. 28 Query
  29. 29 Results
  30. 30 Histograms
  31. 31 Correlation Matrix
  32. 32 Running again
  33. 33 Linear models
  34. 34 Scoring
  35. 35 Graph and Model
  36. 36 Serialize Models
  37. 37 Deposit Models
  38. 38 Stored Procedures
  39. 39 Prediction Operator
  40. 40 R Code
  41. 41 Result
  42. 42 Screen Resolution
  43. 43 Summary
  44. 44 Practicality

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