Hello!
The “b” bias parameter in the regression function (fwb(x)= wx + b) is the y-intercept value when x =0. This may seem like an obvious question, but how do you decide what scalar value to use to initialize b? My intuition is that the problem and data set should give you some guidance; however, in the housing price examples in the videos and labs, init_b has ranged in values from 0 to close to 600. As such I’m unclear on how to decide on the most appropriate init_b value. For example, if the features are normalized, then does it make sense to set init_b to 0?
Thank you in advance for your advice!
Sincerely,
Alice