optimization – Machine Learning Interviews

How to learn Math for Machine Learning

Posted on January 25, 2021January 25, 2021 by MLNerds

Becoming a data scientist is intrinsically linked to being upto date on statistics and the underlying math along with other practical skills. But how much math do you need? And how do you actually pick up the math? Here is a brief video on learning the math for ML. What Math is required for ML The…

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

Posted on February 27, 2019July 1, 2019 by MLInterview

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…