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Architecture Digest
Architecture Digest
Feb 3, 2018 · Artificial Intelligence

Understanding Entropy, Joint Entropy, Conditional Entropy, Relative Entropy, and Cross Entropy

This article explains the concepts of entropy, joint entropy, conditional entropy, relative entropy (KL divergence) and cross‑entropy, illustrating their definitions, mathematical formulas, intuitive interpretations, and relationships through simple probability examples and visual diagrams.

EntropyKL divergencecross-entropy
0 likes · 14 min read
Understanding Entropy, Joint Entropy, Conditional Entropy, Relative Entropy, and Cross Entropy
Qunar Tech Salon
Qunar Tech Salon
Mar 14, 2015 · Artificial Intelligence

Common Distance and Similarity Measures in Machine Learning and Data Mining

This article reviews the most frequently used distance and similarity formulas in machine learning and data mining, explaining their definitions, mathematical properties, practical examples, and when each metric is appropriate for measuring differences between data points or probability distributions.

KL divergenceMahalanobis distancecosine similarity
0 likes · 13 min read
Common Distance and Similarity Measures in Machine Learning and Data Mining