KL Divergence: The Information Theory Metric that Revolutionized Machine Learning

[Shikha Sen]

Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence. This powerful metric, called relative entropy or information gain, has become indispensable in various fields, from statistical inference to deep learning. In this article, we’ll dive deep into the world of KL […]

The post KL Divergence: The Information Theory Metric that Revolutionized Machine Learning appeared first on Analytics Vidhya.