Logistic Regression, Generalized Linear Model, Machine Learning, Data Science, Statistical Learning.
Sometime it is framed as a problem where the negative of the above log-likelihood needs to be minimized and is known as Binary Cross Entropy (BCE) Loss. The above function needs to be maximized and we can adopt one of the many strategies available to us, Newton-Raphson Method Fisher Scoring Method