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Hyperparameter tuning for big data using Bayesian optimisation

Published • Dec 1, 2016
NobleIDNI6P42W04R10S48
Authors:
Tinu Theckel Joy
,
Santu Rana
,
Sunil Gupta

Abstract

Hyperparameters play a crucial role in the model selection of machine learning algorithms. Tuning these hyperparameters can be exhaustive when the data is large. Bayesian optimisation has emerged as an efficient tool for hyperparameter tuning of machine learning algorithms. In this paper, we propose...

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