Artificial Intelligence, Machine Learning, Data Science, Bioinformatics, Science.
gradient (and stochastic gradient descendant) to find the optimal weights. One of the reasons we use likelihood as a cost function is that mean squared error is not finding the global minimum when applying to logistic regression (is not convex). Summary We have a matrix of inputs (x) with weight