Re: Doubt from lecture 2(Is learning feasible?)
Can't I start talking about hypothesis analogy without making this assumption?
I mean if i say that a hypothesis is analogous to a bin and then I say that for any hypothesis there is a probability that that it will make a wrong classification in the bin and in the sample with probability \mu & \vu.
And then go ahead with hooeffding's inequality.
In doing so do I really need that assumption?
