Automated Machine Learning on Big Data using Stochastic Algorithm Tuning

30 Jul 2014Thomas NicksonMichael A OsborneSteven ReeceStephen J Roberts

We introduce a means of automating machine learning (ML) for big data tasks, by performing scalable stochastic Bayesian optimisation of ML algorithm parameters and hyper-parameters. More often than not, the critical tuning of ML algorithm parameters has relied on domain expertise from experts, along with laborious hand-tuning, brute search or lengthy sampling runs... (read more)

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