11.3 Linear regression. (a) What condition is required on the data X in order to guarantee that...
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11.3 Linear regression.
(a) What condition is required on the data X in order to guarantee that XX>
is invertible?
(b) Assume the problem is under-determined. Then, we can choose a solution w such that the equality X>w = X>(XX>)yXy (which can be shown to equal XyXy) holds. One particular choice that satises this equality is w = (XX>)yXy. However, this is not the unique solution. As a function of w, characterize all choices of w that satisfy X>w = XyXy (Hint: use the fact that XXyX = X).
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Related Book For
Foundations Of Machine Learning
ISBN: 9780262351362
2nd Edition
Authors: Mehryar Mohri, Afshin Rostamizadeh
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