Convex vs Non-Convex Loss Functions in Machine Learning and Optimization

Plus concave functions!

Image credit: RadioRio / PIXTA

In machine learning and optimization, we often focus on loss minimization to compare the predicted values of an AI model with its corresponding ground truth values.

The loss function calculates the loss score, the discrepancy between the predicted and ground truth values.