I was looking here at bias and variance: https://www.coursera.org/learn/machine-learning/lecture/4VDlf/regularization-and-bias-variance
And saw this:
There are two summations with two m's but I cannot figure out what they are. Either the total number of parameters or total number of data points but they should be the same or it makes more sense to use different notation say m and n?
It looks like the left summation is over the data points since x and y are superscripted by i, so in this case m means total number of data points where as the right summation looks like it's over the number of parameters since theta is subscripted by j so in this latter case, it seems like m means the total number of parameters.
I apologize for a rookie question.