CONTENTS
Machine learning is a type of AI that allows systems to learn from data and improve predictions over time. In climate science, it helps analyse complex patterns and improve model performance.
Example in context
EarthScan uses machine learning to refine climate risk scores based on asset properties, hazard exposure, and historical events providing more accurate results over time.
Why it matters
Machine learning makes climate risk modelling faster and more precise. It’s especially useful when processing large asset datasets or forecasting hazard likelihood.
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