Data to the Rescue! Predicting and Preventing Accidents at Sea

Data to the Rescue! Predicting and Preventing Accidents at Sea

MLCon | Machine Learning Conference via YouTube Direct link

Windward

9 of 41

9 of 41

Windward

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Classroom Contents

Data to the Rescue! Predicting and Preventing Accidents at Sea

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  1. 1 Intro
  2. 2 Evolutionary Computation
  3. 3 Introduction
  4. 4 Why Ships
  5. 5 Accidents at Sea
  6. 6 Risky Drivers
  7. 7 Operational Profiles
  8. 8 Data
  9. 9 Windward
  10. 10 Context
  11. 11 What a ship is doing
  12. 12 Geography
  13. 13 Draft
  14. 14 Night
  15. 15 Maps
  16. 16 Movie
  17. 17 Separation Zone
  18. 18 Anomaly Detection
  19. 19 Weather
  20. 20 Operational Profile
  21. 21 Accidents Database
  22. 22 Machine Learning Models
  23. 23 Deep Learning
  24. 24 Time Series Data
  25. 25 Sentence Completion
  26. 26 Time Series
  27. 27 Network
  28. 28 Predicting Ship Class
  29. 29 Predicting Kerch Accident
  30. 30 Insurance Companies
  31. 31 Lloyds
  32. 32 Wayne Ward
  33. 33 How do we gain trust
  34. 34 How well we become impactful
  35. 35 How we do it
  36. 36 Probability vs Loss
  37. 37 Trust
  38. 38 Use
  39. 39 SHAP
  40. 40 Conclusion
  41. 41 Questions

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