@inbook{b7a15f1cde6e4ec6817f77098ba24980,
title = "Introduction to Machine Learning",
abstract = "As already discussed in Chap. 1, Machine Learning (ML) (Mitchell, 1997; Shalev-Shwartz and Ben-David, 2014) is a field of study whose objective is to program computers to automatically learn to solve a problem, or accomplish a task. ML is useful when manually programming a computer to carry out a task is either impractical or infeasible. Typical cases are either problems that are so complex that they are beyond human capabilities, like those characterized by vast amounts of data, or tasks that living beings perform routinely, but our introspection on how we do it is not sufficiently elaborated to allow us to extract a well-defined algorithm, for instance driving, speech recognition, image understanding or client categorization.",
author = "Leonardo Vanneschi and Sara Silva",
note = "Vanneschi, L., & Silva, S. (2023). Introduction to Machine Learning. In Lectures on Intelligent Systems (pp. 115-148). (Natural Computing Series). Springer, Cham. https://doi.org/10.1007/978-3-031-17922-8_5",
year = "2023",
month = jan,
day = "13",
doi = "10.1007/978-3-031-17922-8_5",
language = "English",
isbn = "978-3-031-17921-1",
series = "Natural Computing Series",
publisher = "Springer, Cham",
pages = "115--148",
booktitle = "Lectures on Intelligent Systems",
}