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Machine Learning in the Real World

Machine Learning in the Real World

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Use cases

17 of 17
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17 of 17

Use cases

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Classroom Contents

Machine Learning in the Real World

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  1. 1 Introduction
  2. 2 Missing data
  3. 3 One minute updates
  4. 4 Incorrect data
  5. 5 The hump
  6. 6 Precision vs accuracy
  7. 7 Quiz
  8. 8 Conditional Probabilities
  9. 9 Time
  10. 10 Physics
  11. 11 Business Case
  12. 12 Conclusion
  13. 13 Question of cost
  14. 14 Risk aversion
  15. 15 Shifting expectations
  16. 16 Time service analysis
  17. 17 Use cases

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