LFD Book Forum (http://book.caltech.edu/bookforum/index.php)
-   Homework 4 (http://book.caltech.edu/bookforum/forumdisplay.php?f=133)
-   -   Hm 4,q#7 (http://book.caltech.edu/bookforum/showthread.php?t=4361)

 samihaq 07-08-2013 06:52 AM

Hm 4,q#7

I have two basic questions regarding Q#7

1. How to use 1-step learning for linear regression uses the term Ax + b = y,(b as a constant) as i think in the original form (w = pseudo_inv(X) * y ) it is used for Ax = y. We can take b on other side and subtract from y but then what values of b constant to use.

2. Secondly when we have h(x) = b as hypothesis set then as it is just a constant and there are no parameters, so we cant use any learning algorithm then does it mean that we just to try a range of values for b ?

Thank you very much

 yaser 07-08-2013 08:50 AM

Re: Hm 4,q#7

Quote:
 Originally Posted by samihaq (Post 11180) 1. How to use 1-step learning for linear regression uses the term Ax + b = y,(b as a constant) as i think in the original form (w = pseudo_inv(X) * y ) it is used for Ax = y. We can take b on other side and subtract from y but then what values of b constant to use.
The constant can be treated as a coefficient of (which is the constant 1).

Quote:
 2. Secondly when we have h(x) = b as hypothesis set then as it is just a constant and there are no parameters, so we cant use any learning algorithm then does it mean that we just to try a range of values for b ?
It is a constant in the sense that the value of the hypothesis does not change for different values of , but the value of the constant itself can change from one hypothesis to another, so should be treated as a parameter.

 samihaq 07-08-2013 10:02 AM

Re: Hm 4,q#7

Thank you very much Professor.

 All times are GMT -7. The time now is 06:54 AM.

Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2020, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.