## With the maximum likelihood estimate are we guaranteed to find a global Optima ?

Maximum likelihood estimate finds that value of parameters that maximize the likelihood. If the likelihood is strictly concave(or negative of likelihood is strictly convex), we are guaranteed to find a unique optimum. This is usually not the case and we end up finding a local optima. Hence, the Maximum likelihood estimate usually finds a local…

## What is the difference between deep learning and machine learning?

Deep learning is a subset of Machine Learning. Machine learning is the ability to build “models” that can learn automatically from data, without programming explicit rules. Machine Learning models typically have the ability to generalize to new data. Deep Learning is a field in machine learning where we build multi-layered artificial neural network models to…