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Model performance often takes center stage in machine learning. Yet behind every successful model is the data it relies on – a dynamic and evolving foundation that can make or break the accuracy of predictions.
Trade strategies that incorporate probabilistic price forecasts offer a comprehensive view of uncertainty. This article reviews the advantages and qualities of probabilistic forecasts, then provides ways to apply conformal prediction.
While computers excel at processing large volumes of data at high speeds, humans bring a complementary, unparalleled depth of understanding and adaptability to the table: a simple definition of ‘human-in-the-loop’.
Weather data is high volume, and storage has many limitations. Imagine going from a spreadsheet to a sophisticated 3D model where each layer holds information about specific meteorological variables.