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- W3030437247 abstract "This chapter introduces the reader to the basic concepts of machine learning (ML). Popular ML methods, such as neural networks, support vector machines, Bayesian networks, decision trees and the k-nearest neighbours algorithm are described along with simple examples applied to coastal processes. The reader is then guided through the steps required to develop ML algorithms from the first steps of data selection and preparation, to model selection, development and evaluation. A case study worked example is also included for the reader as a step-by-step guide to setting up a simple ML model and is provided as a supplementary online workbook for this chapter. The chapter concludes with a brief discussion on the future of ML in coastal processes research." @default.
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- W3030437247 date "2020-01-01" @default.
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- W3030437247 title "Machine learning and coastal processes" @default.
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