information theory

Data transmission mathematics

Information theory is the mathematical study of how information is quantified, stored, and transmitted.

Founded by Claude Shannon in 1948, it introduced concepts like entropy (measuring uncertainty or information content) and channel capacity (the maximum rate at which data can be reliably transmitted).

The field underpins modern communications, data compression, and cryptography: Information theory explains why your file can only be compressed so much.

coding

entropy

Quantified chaos in systems

  • bitSmall amount or portion
  • channelPassage for transmission
  • encodingConverting data to format

decoding · compression · redundancy · Shannon · lossless · lossy · data compression · parity · codec · modulation

measurement

bit

Small amount or portion

  • natNatural log information unit
  • entropyQuantified chaos in systems
  • bandwidthData transmission capacity

data rate · signal-to-noise · noise · redundancy

probability

entropy

Quantified chaos in systems

Bayesian · Markov · stochastic · likelihood · expectation · variance · marginal · prior · posterior · random variable

Categories
Opposites
theoretical framework

information theoryhermeneutics

Study of interpretation methods

intuitive understanding · semiotics · phenomenology · tacit knowledge · intuition

ORDER vs. DISORDER

information theorynoise

Unwanted auditory disturbance

entropy · randomness · disorder · chaos · static

SIGNAL vs. NOISE

information theorynoise

Unwanted auditory disturbance

static · interference · corruption · meaninglessness · gibberish

Family

theory, information, informed, misinformation, uninformed, informative, informing, informs, disinformation

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