Quantum Entropy Measures
In classical information theory, entropy is used to measure uncertainty or the average information content of a message. This idea is extended in the quantum world through quantum entropy measures,….
Tag: Mutual Information
Feature Selection Techniques
Feature Selection Techniques: A Comprehensive Guide Introduction Feature selection is a crucial step in machine learning that involves selecting the most relevant features (variables) for building an efficient and accurate….