Hoeffding Inequality Definition (Chapter 1, Eqn. 1.4)
I'm currently working on Exercise 1.9 and had a question about the Hoeffding inequality. I'm looking at the inner inequality of the left hand term, but I've seen the inequality presented in different ways in different locations. The textbook (p. 19) says v  mu strictly greater than epsilon, but Wikipedia claims v  mu greater than or equal to epsilon; same for UMich's Stat Learning Theory course: http://bit.ly/2x1RRkD .
I'm basically wondering if there's some sort of subtlety that I'm missing or if it was a mistake in the textbook. Thanks! Spencer Norris 
Re: Hoeffding Inequality Definition (Chapter 1, Eqn. 1.4)
Quote:
This has been explained by professor Malik here: http://book.caltech.edu/bookforum/showthread.php?t=4412 
Re: Hoeffding Inequality Definition (Chapter 1, Eqn. 1.4)
Technically, one can prove the Hoeffding inequality with
The one in the book with is also true because the "BAD" event is a "smaller" event than the "BAD" event . We wanted to define "GOOD" as , which means we should define the "BAD" event where you got fooled as . This minor technicality has little or no practical significance. Quote:

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