## Convex Optimization in Machine Learning

In an earlier post, we introduced one of the most widely used optimization technique, the gradient descent and its scalable variant, the Stochastic Gradient Descent. Although the SGD is an efficient and scalable technique to optimize a function, but the drawbacks with both gradient descent and SGD is that they are susceptible to find local optimum. The gradient descent technique is not suited to find local or global optimum with […]