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.
|Title of host publication||Machine Learning or the Quantiﬁed Self|
|Subtitle of host publication||On the Art of Learning from Sensory Data|
|Number of pages||21|
|Publication status||E-pub ahead of print - 27 Sep 2017|
|Name||Cognitive Systems Monographs|