Cambridge University: Introduction to Information Theory

| May 31, 2014 | 0 Comments

Here we have a full course on such topics as information theory, pattern recognition and neural networking. The course is delivered through 16 lectures by Prof David MacKay. In particular, the topics covered in the lectures include the following: information theory,  entropy, data compression, Shannon’s source coding theorem, noisy channel coding, neutral network, Bayesian interference and others. For more similar lectures visit the full list of free physics lectures available on the webpage.

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Category: Physics Lectures

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