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Developments in data analysis for decision-making in precision livestock farming systems

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Developments in data analysis for decision-making in precision livestock farming systemsThis chapter focuses on supervised learning techniques such as decision trees and linear prediction models, as well as unsupervised learning techniques such as clustering. Fitting the model to data and the phenomenon of overfitting are described. For each technique, an example has been added for livestock data.

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