Mphasis

Now that we have an understanding of Baye's Rule, let's try to use it to analyze linear regression models. Where i is the dimensionality of the data X. Yj is the corresponding output for Xj. If i 3, Yj w1* x1j w2* x2j w3* x3j Where j is ranging from 1 to N where N is the number of data points we have. While the process of Bayesian modelling will be taken up in next part, let us consider the below model as true, for now.