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So the linear equation is like y=mx+b
and is it informed in the video, that in machine learning it is represented as y=wx+b where “w” represents weights.
but then in lecture it is said that a, c and p are the weights.
while for me, these are the unknown variables like x. Can you please explain this point please?
Your help shall be highly appreciated.
At this point in the lecture, he’s only talking about a set of linear equations:
This example has nothing to do with the linear regression that was discussed previously.
Dear Tmosh
Thanks for your prompt response but kindly have a look at my question again as it does not seem to be answered. Weights are the representing m (slope) variables. Why a c and p in the slide are called as weights while they look to be variables.
Please read my response again.
The set of equations you posted are not related to weights or linear regression in any way.
It’s just an example of a set of linear equations.
