Have you ever ask yourself why data matters in healthcare? The data volume is growing at the speed of light in healthcare, and the majority of the time, we cannot touch it due to privacy. Now, let's see why big data is a unique topic in the healthcare sector.
In this article, we focus on the notion of supervised machine learning and its associated categories. We briefly discuss the popular categories and algorithms without digging too much into detail. The goal is to have an idea of what is supervised learning.
In this article, we outline different steps to define, frame, organize, deploy, and evaluate a successful Machine Learning (ML) project. The expected audience for this article involves business stakeholders, supervisors, Machine Learning experts, and software development engineers.