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    Home»Artificial Intelligence»Surprise! Information Theory Intro | Eyal Kazin
    Artificial Intelligence

    Surprise! Information Theory Intro | Eyal Kazin

    Editor Times FeaturedBy Editor Times FeaturedFebruary 3, 2025No Comments1 Min Read
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    Towards Data Science

    Shock! Generated utilizing Gemini.

    Throughout the telecommunication increase, Claude Shannon, in his seminal 1948 paper¹, posed a query that may revolutionise know-how:

    How can we quantify communication?

    Shannon’s findings stay basic to expressing info quantification, storage, and communication. These insights made main contributions to the creation of applied sciences starting from sign processing, information compression (e.g., Zip recordsdata and compact discs) to the Web and synthetic intelligence. Extra broadly, his work has considerably impacted numerous fields corresponding to neurobiology, statistical physics and pc science (e.g, cybersecurity, cloud computing, and machine studying).

    [Shannon’s paper is the]

    Magna Carta of the Info Age

    — Scientific American

    That is the primary article in a sequence that explores info quantification — a necessary device for information scientists. Its purposes vary from enhancing statistical analyses to serving as a go-to choice heuristic in cutting-edge machine studying algorithms.



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