book chapter · Springer textbooks in earth sciences, geography and environment · 2023

Supervised Machine Learning Methods

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Abstract

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Cite this paper

Petrelli, M. (2023). Supervised Machine Learning Methods. Springer textbooks in earth sciences, geography and environment, 99–116. https://doi.org/10.1007/978-3-031-35114-3_7

MLA 9

Petrelli, Maurizio. “Supervised Machine Learning Methods.” Springer textbooks in earth sciences, geography and environment, 2023, pp. 99–116, https://doi.org/10.1007/978-3-031-35114-3_7.

Chicago

Petrelli, Maurizio. 2023. “Supervised Machine Learning Methods.” Springer textbooks in earth sciences, geography and environment: 99–116. https://doi.org/10.1007/978-3-031-35114-3_7.

Harvard

Petrelli, M. (2023) ‘Supervised Machine Learning Methods’, Springer textbooks in earth sciences, geography and environment, pp. 99–116. Available at: https://doi.org/10.1007/978-3-031-35114-3_7.

BibTeX

@incollection{petrelli2023supervised,
  title = {{Supervised Machine Learning Methods}},
  author = {Petrelli, Maurizio},
  booktitle = {Springer textbooks in earth sciences, geography and environment},
  pages = {99--116},
  year = {2023},
  doi = {10.1007/978-3-031-35114-3_7}
}

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