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What is Machine Learning in Climate Forecasting about?

The document discusses the application of machine learning (ML) in enhancing the accuracy of weather forecasting and understanding climate change. It outlines the process of using ML, including data collection, preprocessing, feature selection, model selection, training, validation, and prediction. Various algorithms such as linear regression, decision trees, random forests, support vector machines, and neural networks are highlighted for their effectiveness in weather prediction.

Author

toponraihan516

Language

EN