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Entropy aims to measure the amount of in a system where, in context of classical information theory, the higher the entropy the more bits/information will be required to encode a message. Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions. strucutre uncertainty/surprise randomness O certainty

Entropy aims to measure the amount of in a system where, in context of classical information theory, the higher the entropy the more bits/information will be required to encode a message. Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions. strucutre uncertainty/surprise randomness O certainty

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Entropy aims to measure the amount of ____ in a system where, in context of classical information theory, the higher the entropy the more bits/information will be required to encode a message. Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions. strucutre uncertainty/surprise O randomness certainty
Transcribed Image Text:Entropy aims to measure the amount of ____ in a system where, in context of classical information theory, the higher the entropy the more bits/information will be required to encode a message. Notes: Keep the idea of entropy in your back pocket as it will be applied to classification problems! We will be using entropy as a measure of uncertainty and as a way to compare the similarity of two probability distributions. strucutre uncertainty/surprise O randomness certainty
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