Abstract
In the previous chapters we took a look at the regression and classification algorithms that fall under the category of supervised algorithms[1]. In this chapter, we will be taking a look at the remaining forms of machine learning, namely unsupervised algorithms and reinforcement learning. In unsupervised algorithms, the labels or the target classes are not given. So the goal of unsupervised learning is to attempt to find natural partitions of patterns.
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© 2020 Joydeep Bhattacharjee
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Bhattacharjee, J. (2020). Unsupervised and Reinforcement Learning. In: Practical Machine Learning with Rust. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5121-8_3
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DOI: https://doi.org/10.1007/978-1-4842-5121-8_3
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5120-1
Online ISBN: 978-1-4842-5121-8
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