Data Dynamics: Exploring Information Theory Essentials



This content originally appeared on DEV Community and was authored by Kevin Brennan Guzi

Information theory studies efficient data transmition, processing, and storage. Key ideas are entropy (uncertainty), data compression (saving space), channel capacity (max info transmission), noise (interference), and error correction (fixing mistakes).


This content originally appeared on DEV Community and was authored by Kevin Brennan Guzi