Basic Introduction to Loss Functions - Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The loss function is as noteworthy to Machine Learning as the guide is important to a student. Just like a guide aids in improving the performance /efficiency of a student, similarly, loss functions are required to improve the output result of the model for better accuracy. The loss function serves as the basis of modern machine learning. To put it simply, a loss function indicates how inaccurate the model is at determining the relationship between x and y.