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...Why and how to use ensemble methods in financial machine learning study carried out by the quantitative practice special thanks pierre edouard thiery janvier s introduction fromasinglemodeltoensemblemethods baggingandboosting thethreeerrorsofamachinelearningmodel whyisitbe ertorelyonbagginginfinance conclusion references note awalee number of neurons each layer as well functions within neuron forms metaparameters m pa machinelearningtechniquesaregainingcurrencyinfinance rameters neural network are weights for link nowadays ever more strategies rely on betweentwoneuronsfromtwoconsecutivelayers thosepa models such networks detect subtler sig estimated a training set d formally nals nonetheless this rising popularity does not come with p now since sets which used any shortcoming most widespread one being so areoftheutmostimportance wealwayswritep toclearly called overfi ing when tend learn heart from mention is find parameters data thus unable face unknown our given model opinion using al...