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Published in:
2018 | OriginalPaper | Chapter
6. Mathematical Foundations for Supervised Learning
Authors : Mark Hoogendoorn, Burkhardt Funk
Published in: Machine Learning for the Quantified Self
Publisher: Springer International Publishing
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Abstract
In this chapter the theoretical underpinning of supervised learning are discussed. The whole supervised machine learning process is explained from a more formal perspective as well as some underlying theories. The theories discussed include concepts such as PAC learnability and VC dimensions. The implications of these theories are discussed.