DiscoverData Science DecodedData Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3
Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3

Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3

Update: 2024-07-30
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Shannon, Claude Elwood. "A mathematical theory of communication." The Bell system technical journal 27.3 (1948): 379-423.

Part 3/3.

The paper fundamentally reshapes how we understand communication.

The paper introduces a formal framework for analyzing communication systems, addressing the transmission of information with and without noise. Key concepts include the definition of information entropy, the logarithmic measure of information, and the capacity of communication channels.

In the third part we go over the Fundamental theorem of the noisy and noiseless channel!

Full breakdown of the paper with math and python code is at our website:
https://datasciencedecodedpodcast.com/

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Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3

Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3

Mike E