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Classroom Contents
Advanced R Analytics in SS2016 Using R Tools for Visual Studio
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- 1 Introduction
- 2 Questions
- 3 Sponsors
- 4 Explore PASS
- 5 About the speaker
- 6 Background
- 7 Why predictive analytics
- 8 Predictive analytics in every industry
- 9 Adoption of predictive analytics
- 10 Reality Bites
- 11 Four Big Challenges
- 12 Three Step Process
- 13 Problem of the Team
- 14 Performance
- 15 Tools for Visual Studio
- 16 Download
- 17 Features
- 18 Demos
- 19 Example Problem
- 20 Traditional GUI
- 21 Rich IDE
- 22 ODBC
- 23 Packages
- 24 Accessing Data
- 25 Remote Execution Context
- 26 Parallelized Algorithms
- 27 Feature Engineering
- 28 Query
- 29 Results
- 30 Histograms
- 31 Correlation Matrix
- 32 Running again
- 33 Linear models
- 34 Scoring
- 35 Graph and Model
- 36 Serialize Models
- 37 Deposit Models
- 38 Stored Procedures
- 39 Prediction Operator
- 40 R Code
- 41 Result
- 42 Screen Resolution
- 43 Summary
- 44 Practicality
