Building a Measurement System for Personalization - A Bayesian Approach

Building a Measurement System for Personalization - A Bayesian Approach

Toronto Machine Learning Series (TMLS) via YouTube Direct link

Our Measurement Objectives

3 of 12

3 of 12

Our Measurement Objectives

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Building a Measurement System for Personalization - A Bayesian Approach

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  1. 1 Intro
  2. 2 About Personalization at Sobeys
  3. 3 Our Measurement Objectives
  4. 4 The Experiment Set-Up
  5. 5 Comparing Approaches to Inference
  6. 6 The Bayesian Approach to Inference
  7. 7 Why Bayesian Inference?
  8. 8 Introducing the Example!
  9. 9 A Simple Model
  10. 10 Adding the Engagement Group
  11. 11 Partial Pooling: Effect Results
  12. 12 Closing Remarks

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