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Automated Machine Learning – a brief review at the end of the early years
[article]
2020
arXiv
pre-print
Automated machine learning (AutoML) is the sub-field of machine learning that aims at automating, to some extend, all stages of the design of a machine learning system. In the context of supervised learning, AutoML is concerned with feature extraction, pre processing, model design and post processing. Major contributions and achievements in AutoML have been taking place during the recent decade. We are therefore in perfect timing to look back and realize what we have learned. This chapter aims
arXiv:2008.08516v3
fatcat:xygxkejxvvd5joz2nouxya5ska