Skip to main content
Share Your Experience: Take the 2024 Developer Survey

Questions tagged [sample-complexity]

For questions related to the sample complexity of a machine learning algorithm, which represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to supply to the algorithm, so that the function returned by the algorithm is within an arbitrarily small error of the best possible function, with probability arbitrarily close to 1.

Filter by
Sorted by
Tagged with
5 votes
4 answers
2k views

How does size of the dataset depend on VC dimension of the hypothesis class?

This might be a little broad question, but I have been watching Caltech youtube videos on Machine Learning, and in this video prof. is trying to explain how we should interpret the VC dimension in ...
Stefan Radonjic's user avatar