When most people hear the word "code," they think of spies, secret languages, or JavaScript. When they hear "information," they think of news or data. But in the mathematical universe, these two concepts are married in a beautiful, rigorous dance that underpins every text message, every streaming video, and every photograph from Mars.
By Steven Roman (Inspired by his lifelong work in mathematical literacy) Introduction To Coding And Information Theory Steven Roman
Entropy is the average amount of information produced by a source. It is also the minimum number of bits required, on average, to encode the source without losing any information. When most people hear the word "code," they
Mathematically, the information content ( h(x) ) of an event ( x ) with probability ( p ) is: " they think of spies
In Shannon’s world,
When most people hear the word "code," they think of spies, secret languages, or JavaScript. When they hear "information," they think of news or data. But in the mathematical universe, these two concepts are married in a beautiful, rigorous dance that underpins every text message, every streaming video, and every photograph from Mars.
By Steven Roman (Inspired by his lifelong work in mathematical literacy)
Entropy is the average amount of information produced by a source. It is also the minimum number of bits required, on average, to encode the source without losing any information.
Mathematically, the information content ( h(x) ) of an event ( x ) with probability ( p ) is:
In Shannon’s world,