nice interview, lot of question on machine learning basics, bias, variance, gradient descent, artificial neural networks, deep neural networks, support vector machines, k nearest neighbours, bias vairance trade off, linear regression, logistic regression, adam, adaboost, bagging, random forest, decision trees