How can machine learning predict natural disasters?

How can machine learning help in predicting natural disasters?

Machine learning can analyze vast amounts of data from various sources to identify patterns and predict disasters like earthquakes and floods.

What types of data are used for these predictions?

Data such as historical weather patterns, seismic activity, satellite imagery, and social media trends are commonly used.

Are there any successful examples of this in action?

Yes, for instance, machine learning models have been used to predict hurricanes and improve evacuation strategies.

What are the limitations of using machine learning for this purpose?

Limitations include data quality, the unpredictability of natural events, and the need for continuous model training.