Machine learning

Question

Can we differentiate supervied and unsupervised learning as accurate and estimate (for saying) ?
Other question - Is machine learning can classifiy videos without any nametag and information by just reading it?

Answer 1

Supervised algorithms are those where we provide input with their tags as well, on the basis of which the model can determine tags for future inputs.
Whereas in unsupervised learning, we provide input to model without any tags, it forms output in forms of groups or clusters by which patters or categories can be determined.
To classify anything without providing related information, unsupervised algorithms can be employed.
I will suggest you to do a proper research on web as it is an objective question not a subjective one.
Thanks

Answer 2

3rd para is about that only

Answer 3

Hardik Sharma please tell other question