Machine Learning at Amazon by Rajeev Rastogi

Machine Learning at Amazon by Rajeev Rastogi

International Centre for Theoretical Sciences via YouTube Direct link

Numerous ML Applications

3 of 46

3 of 46

Numerous ML Applications

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Machine Learning at Amazon by Rajeev Rastogi

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  1. 1 Start
  2. 2 Machine Learning @ Amazon
  3. 3 Numerous ML Applications
  4. 4 Address Quality
  5. 5 Product Packaging
  6. 6 Product Substitutes
  7. 7 Product Recommendations
  8. 8 Product Demand Forecasting
  9. 9 Product Classification
  10. 10 Product Matching
  11. 11 Insights Extraction from Reviews
  12. 12 Outline
  13. 13 Amazon Product Pages
  14. 14 Question & Answering Bot
  15. 15 Product Feature Questions
  16. 16 Product Comparison/Compatibility Questions
  17. 17 Key Challenges
  18. 18 Learning Semantically Rich Representations
  19. 19 Results for Different Loss Functions
  20. 20 Qualitative Results
  21. 21 Learning Representations with Attention
  22. 22 Amazon's Product Catalog
  23. 23 Title Defects
  24. 24 Image Defects
  25. 25 Product Attribute Mismatches
  26. 26 Text Attribute Extraction
  27. 27 Image Classification/Attribute Extraction
  28. 28 Mismatch Detection
  29. 29 Size Recommendation Problem
  30. 30 Motivation
  31. 31 Our Approach
  32. 32 Our Approach Contd
  33. 33 Bayesian Modeling Benefits
  34. 34 Intuition
  35. 35 Data Likelihood
  36. 36 Generative Model
  37. 37 Bayesian Inference
  38. 38 Polya-Gamma Augmentation [Polson et al. 2013]
  39. 39 Polya-Gamma Augmentation Contd
  40. 40 Gibbs Sampling Algorithm
  41. 41 Predictive Distribution
  42. 42 Experimental Results
  43. 43 Leveraging Customer and Product Features
  44. 44 Incorporating Customer Persona
  45. 45 Summary
  46. 46 Q&A

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