Introduction to ML.NET

Introduction to ML.NET

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26 of 31

26 of 31

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Classroom Contents

Introduction to ML.NET

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  1. 1 Introduction
  2. 2 Machine Learning
  3. 3 Is this a face
  4. 4 How do we build functions
  5. 5 Data
  6. 6 Classification
  7. 7 Cognitive Services
  8. 8 Building Models
  9. 9 Agenda
  10. 10 MLNET
  11. 11 GitHub Issue Classification
  12. 12 MultiClass Classification
  13. 13 Multiple Labels
  14. 14 Console Application
  15. 15 Pipeline
  16. 16 GitHub Issue
  17. 17 Pipeline Example
  18. 18 Supervised Learning
  19. 19 Label
  20. 20 Title
  21. 21 Numeric Vector
  22. 22 Glossary
  23. 23 Review
  24. 24 Favorite movies
  25. 25 Netflix
  26. 26 Population averages
  27. 27 Contentbased filtering
  28. 28 Data set
  29. 29 Factorization
  30. 30 Essence of Machine Learning
  31. 31 Demo

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