Aster R Architecture Basics

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Aster R Architecture Basics by Roger Fried, Sr. Data Scientist
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  • Brief Data Science Foundation: Multi-Genre Analytics and Machine Learning
  • Brief Introduction to Aster R
  • Scalable Data Science, R and Aster R
  • Data Access, Transformation and Storage
  • Data Volume and Complexity
  • The Key to Data Science ROI: Operationalization
  • Operationalizing Aster R
  • Moving Data Across the Enterprise
  • Freddie Mac Mortgage Analytics Case Study
    • Connecting to Hadoop
    • Connecting to Teradata
    • Connecting to Other Databases
  • The Philosophy of Aster R
  • Intro to Aster R Programming
    • Classification Exercise: Naïve Bayes
    • Data Management Exercise: Train vs. Test
    • subset() and ta.transform()

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