Understanding Shannon's Entropy metric for Information
Sriram Vajapeyam
TL;DR
This paper provides an intuitive primer on Shannon's Entropy, explaining its fundamental role in information theory for beginners to understand and recall the metric effectively.
Contribution
It offers a simplified, accessible explanation of Shannon's Entropy, aiding newcomers in grasping and reconstructing the concept.
Findings
Clarifies the intuition behind Shannon's Entropy
Provides a step-by-step understanding method
Enhances recall of the entropy calculation
Abstract
Shannon's metric of "Entropy" of information is a foundational concept of information theory. This article is a primer for novices that presents an intuitive way of understanding, remembering, and/or reconstructing Shannon's Entropy metric for information.
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Code & Models
- learn-co-students/dsc-3-31-04-entropy-information-gain-staffnone
- learn-co-students/dsc-3-31-04-entropy-information-gain-data-science-demonone
- learn-co-students/dsc-3-31-04-entropy-information-gain-seattle-ds-career-040119none
- learn-co-students/dsc-3-31-04-entropy-information-gain-demo-online-ds-000none
- learn-co-students/dsc-3-31-04-entropy-information-gain-online-ds-pt-112618none
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Taxonomy
TopicsNeural Networks and Applications · Cognitive Science and Education Research