Logistic Regression, Generalized Linear Model, Machine Learning, Data Science, Statistical Learning.
of the log likelihood at the mth step. Calculating the derivative of the log likehood we get the following where, X is the design matrix with rows as observations and columns as explanatory variables. Similarly, we can calculate the second derivative as follows, which can be written in a