Abstract
In machine learning, feature engineering is a blanket term covering both statistical and business judgment aspects of modeling real-world problems. Feature engineering is a term coined to give due importance to the domain knowledge required to select sets of features for machine learning algorithms. It is one of the reasons that most of the machine learning professionals call it an informal process.
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© 2019 Karthik Ramasubramanian and Abhishek Singh
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Ramasubramanian, K., Singh, A. (2019). Feature Engineering. In: Machine Learning Using R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4215-5_5
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DOI: https://doi.org/10.1007/978-1-4842-4215-5_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4214-8
Online ISBN: 978-1-4842-4215-5
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