VC dimension

In this post we will talk about PAC Learning and VC Dimension, explaining what they are and why they are useful in Machine Learning. Disclaimer: the following notes were written following the slides provided by the professor Restelli at Polytechnic of Milan and the book ‘Pattern Recognition and Machine Learning'. PAC-Learning and VC-Dimension PAC-Learning In Probably Approximately Correct Learning, the learner receives samples and must select a generalization function (called the hypothesis) from a certain class of possible functions....