Undefined notation / notation bug in Lecture 1 Concept Check, Topic 2, Question 1

[davidrosenberg]

What is N? If it's the minibatch size, it should be the subscript of m rather than n. @brett1479 right?

https://davidrosenberg.github.io/mlcourse/ConceptChecks/1-Lec-Check_sol.pdf

I think should be the same as: https://davidrosenberg.github.io/mlcourse/Archive/2017Fall/Lectures/02b.SGD.pdf#page=20
?

[brett1479]

I think the issue here is that it should say that the full training set is $(x_1,y_1),\ldots,(x_N,y_N)$, since otherwise the mini-batch and the training set have the same size (which is what it says now). We can swap them to make them agree with the lecture.

[brett1479]

I think it is fixed here: https://github.com/davidrosenberg/mlcourse/blob/gh-pages/ConceptChecks/1-Lec-Check_sol.pdf

[venik]

It would make sense to add 1 line with P(m_1 = i) under the sum, to make it a bit more clear from where \frac{1}{n} came from.
https://davidrosenberg.github.io/mlcourse/Archive/2017Fall/Lectures/02b.SGD.pdf#page=20