Logistic Regression, Generalized Linear Model, Machine Learning, Data Science, Statistical Learning.
the algorithm we won't ever be dividing by 𝑦̂ 𝑖(1−𝑦̂ 𝑖) to get undefined weights, but if we've got a situation where some 𝑦̂ 𝑖 are approaching 0 or 1, such as in the case of perfect separation, then we'll still get non-convergence as the gradient dies without us reaching anything. Application