What are the most effective machine learning techniques for landslide prediction?
Landslides are natural hazards that can cause significant damage to infrastructure, property, and human lives. Predicting when and where landslides will occur is a challenging task that requires the integration of multiple data sources, such as topography, soil, rainfall, vegetation, and human activities. Machine learning (ML) is a branch of artificial intelligence (AI) that can learn from data and make predictions based on complex patterns and relationships. In this article, you will learn about some of the most effective machine learning techniques for landslide prediction and how they can help improve the accuracy and efficiency of landslide risk assessment and management.
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