Data to the Rescue! Predicting and Preventing Accidents at Sea
MLCon | Machine Learning Conference via YouTube
Overview
Syllabus
Intro
Evolutionary Computation
Introduction
Why Ships
Accidents at Sea
Risky Drivers
Operational Profiles
Data
Windward
Context
What a ship is doing
Geography
Draft
Night
Maps
Movie
Separation Zone
Anomaly Detection
Weather
Operational Profile
Accidents Database
Machine Learning Models
Deep Learning
Time Series Data
Sentence Completion
Time Series
Network
Predicting Ship Class
Predicting Kerch Accident
Insurance Companies
Lloyds
Wayne Ward
How do we gain trust
How well we become impactful
How we do it
Probability vs Loss
Trust
Use
SHAP
Conclusion
Questions
Taught by
MLCon | Machine Learning Conference