#1




Exercise 1.7
A little confused about 1.7. what is the purpose of this exercise: learning is impossible?
in (a), both hypotheses have 1 agree on all 3 points and no agree on all other 7 cases. so which hypothesis should be chose by learning algorithm? as the 2 hypotheses are the same. in(b), still same situation in(c), there are 4 cases agrees. (d), is it possible to agree all 8 cases? 
#2




Re: Exercise 1.7
The purpose of the exercise is to show what can possibly happen outside the data, namely anything, and it is the same no matter how you pick your from the data.
Compare this with the bin in the next section. What can possibly remain in the bin after you pick your sample is every possible combination of red and green marbles. So it is always *possible* to end up with a hypothesis that is arbitrarily bad no matter what algorithm you use to pick that hypothesis using only the data as a guide. That is what thiis exercise illustrates. In the next section you will learn that while anything is possible, some things are more likely than others. Quote:
__________________
Have faith in probability 
#3




Re: Exercise 1.7
Thanks a lot, so for (a), whatever you choose which h (white or black), the result is the same.

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