Abstract
Machine learning algorithms derive their strength from their ability to learn from the available data. This chapter introduces you to the most prominent learning models. Subsequent chapters will dive deeper into the various algorithms or applications that depend on these models. The primary learning models that will be considered are Supervised, Unsupervised, Semi-supervised and Reinforcement learning.
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Rebala, G., Ravi, A., Churiwala, S. (2019). Learning Models. In: An Introduction to Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-15729-6_2
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DOI: https://doi.org/10.1007/978-3-030-15729-6_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15728-9
Online ISBN: 978-3-030-15729-6
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