Concepts3
📚TheoryIntermediate
Shannon Entropy
Shannon entropy quantifies the average uncertainty or information content of a random variable in bits when using base-2 logarithms.
#shannon entropy#information gain#mutual information+12
📚TheoryIntermediate
Information Theory
Information theory quantifies uncertainty and information using measures like entropy, cross-entropy, KL divergence, and mutual information.
#entropy#cross-entropy#kl divergence+12
⚙️AlgorithmIntermediate
Greedy Algorithms
Greedy algorithms build a solution step by step by always taking the best local choice available.
#greedy algorithms#activity selection#interval scheduling+12