ML Model

Human-in-the-Loop Machine Learning Approach

Huge advances in the field of Artificial Intelligence (AI) has led to the rise of machines that can learn and perform on their own. But these machine-driven systems tend to fall short when it comes to achieving acceptable accuracy rates. The combination of machines-based classification enhanced by human feedback is the best approach to develop […]

How to Build, Train, Test, and Deploy a Machine Learning Model?

Building a Machine Learning model is just not enough. The ML model has to be trained, tested and deployed in a production environment to understand what value it provides in solving the real-world problems. In this article, we will explore the steps to build, train, test and deploy an ML model using a hypothetical object-detection […]