Classification algorithms provide a method for categorizing input data into distinct classes. Human-In-The-Loop (HITL) is a strategy for improving model accuracy by involving humans in the labeling of data when building a model. In this article, I will explore how to enhance ML classifications with human-in-the-loop
I developed this site from the discomfort of an Apple iPad. This article covers the technologies that were used, challenges that were faced, and benefits discovered.