#1




Probablity distribution on X
I was looking over lecture #2. The following statement was made:
"You use probablity to assume points x(1) up to x(n)" From slide 9 (lecture 2), this seems to infer that the training samples are generated from the probability distribution. Am I correct in my understanding? Before proability was introduced, it seemed that we were discussing training samples as representing actual customer data such as (salary, years in residence, Years at job,etc). I am having some trouble understanding how the probability assumes points on x and what this really means. Is this sort of like a random generator? Any thoughts would be earnestly appreciated. 
#2




Re: Probablity distribution on X
Quote:
The assumption is benign since no restrictions are made about what kind of distribution it is, and we don't even need to know what the distribution is. It is just a mechanism that allows us to invoke probabilistic analysis, which is needed to establish the feasibility of learning as discussed in the lecture.
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#3




Re: Probablity distribution on X
This clears things up!! Thanks for the quick response. I guess I was stuck in the mode of thinking in terms of real data based on actual applicants. Many Thanks!!

#4




Re: Probablity distribution on X
thank you so much.: Clueless:

#5




Re: Probablity distribution on X

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