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Old 07-08-2013, 07:52 AM
samihaq samihaq is offline
Join Date: May 2012
Posts: 15
Default 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
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