Abstract
This chapter is concerned with the overview of machine learning algorithms with the general aspect. We begin with the overview of tasks to which we are able to apply the machine learning algorithms in the functional view. We describe briefly the four types of machine learning algorithms: the supervised learning, the unsupervised one, the reinforced one, and the semi-supervised one. We explore other areas which are related with the current area, comparing it with them. Therefore, this chapter covers the entire aspect of machine learning algorithms with their functions, types, and related areas.
In Sect. 1.1, we provide the definition of machine learning and in Sect. 1.2, we mention the tasks to which the machine learning algorithms are applied. In Sect. 1.3, we describe the four types of machine learning algorithms briefly. In Sect. 1.4, we mention the areas of computer science which are related with the machine learning, and in Sect. 1.5, we make the summarization of this chapter and the four discussions as the conclusion. This chapter is intended to provide the definition of machine learning, to introduce the learning paradigms, and to mention the related areas.
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Jo, T. (2021). Introduction. In: Machine Learning Foundations. Springer, Cham. https://doi.org/10.1007/978-3-030-65900-4_1
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DOI: https://doi.org/10.1007/978-3-030-65900-4_1
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