Web: http://arxiv.org/abs/2201.11857

Jan. 31, 2022, 2:11 a.m. | William Franz Lamberti

cs.LG updates on arXiv.org arxiv.org

Traditional machine learning (ML) algorithms, such as multiple regression,
require human analysts to make decisions on how to treat the data. These
decisions can make the model building process subjective and difficult to
replicate for those who did not build the model. Deep learning approaches
benefit by allowing the model to learn what features are important once the
human analyst builds the architecture. Thus, a method for automating certain
human decisions for traditional ML modeling would help to improve the …

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