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So I saw this technique which is explained as an improvement for gradient descent algorithm, which is based on coordinate transformation:

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What I don't understand is why in the second slide multiplying by P from the left changing the $\theta^\_ $ into $\theta $

It is taken from here, 01:05:00: lecture 4

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