Pragmatic Programming Techniques

In classical prediction use case, the predicted output is either a number (for regression) or category (for classification).  A set of train...

There are basically 3 different types of Machine Learning Supervised Learning :  The major use case is Prediction.  We provide a set of t...

For a classification problem (let say output is one of the labels R, G, B), how do we predict ? There are two formats that we can report o...

AI is not a new term, it is multiple decades old starting around early 80s when computer scientist design algorithms that can "learn...

Recently I have a discussion with my data science team whether we can challenge the observations is following a random process or not.  Basi...

Optimization is a frequently encountered problem in real life.  We need to make a decision to achieve something within a set of constraints,...

Recently, a good friend sent me an article from Harvard Business Review called "Beyond Automation", written by Thomas H. Davenpor...