From Data to Decisions
Graph-based representation is a natural choice in many areas such as biology, computer science, communication, social sciences, and telecommunication. Such representations are also known as network models. Often, we.
I have been a long time subscriber to CT News Update, a news letter from Campus Technology. In their one of the recent e-newsletters, I came across a brief.
Building a classification model with a collection of annotated training examples requires making the following choices: In this blog post, I will focus on three commonly used loss functions.
Have you often wondered about the difference between the semi-supervised learning and the self-supervised learning? Well! This post might be of help. Let us begin with supervised learning, the.
