
#1




Exercises and Problems
Please comment on the chapter problems in terms of difficulty, clarity, and time demands. This information will help us and other instructors in choosing problems to assign in our classes.
Also, please comment on the exercises in terms of how useful they are in understanding the material.
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#2




Re: Exercises and Problems
How is values of Eout calculated in tables on page 121 that relate to Figure 4.1?
For the table referring to Figure 4.1a, I can see using the formula in Exercise 3.4e on page 88 if the value of sigma were known since d can be inferred from the degree of polynomial fit. I don't see that formula applying to values in the table that relate to Figure 4.1b because sigma is zero. I can see using the formula for Eout in Exercise 3.4e on page 88 in Exercise 4.2 on page 123. Is this correct? 
#3




Re: Exercises and Problems
Quote:
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Where everyone thinks alike, no one thinks very much 
#4




Re: Exercises and Problems
Thanks a million. I assume the mean square error between f and g is restricted to the range of xvalues where training data exist. Is this correct?

#5




Re: Exercises and Problems
Quote:
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Where everyone thinks alike, no one thinks very much 
#6




Re: Exercises and Problems
For Exercise 4.4
I am not able to understand that in this exercise 4.4, what is actually w and do we have to consider the regularizatio also and if the formulae: Ein(w) =1/N (Zwlin − y)T * (Zwlin − y) how can wwlin come in picture. by this formula I am able to get the second term but not the second term? Can anyone help me derive this expression or can anyone share his/her solution with me. http://book.caltech.edu/bookforum/showthread.php?t=4512 same is the Ein used here??? is it out of sample error... I am not able to understand the conflict. What my understanding is that we have derived wlin but for a variable vector we first check how much does it vary from the wlin and multiplied by Z vector gives us how much function vary from average hypothesis and the second term gives us the error of Wlin predicting outputs. Is my understanding right?? 
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