David MacKay
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Uploaded videos
01:00:45
Gaussian Process Basics
2007-02-25
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211589 Views
01:01:51
Lecture 1: Introduction to Information Theory
2012-11-05
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145920 Views
03:02:15
Information Theory
2009-11-02
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70076 Views
51:08
Lecture 2: Entropy and Data Compression (I): Introduction to Compression, Infor...
2012-11-05
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36531 Views
51:00
Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem an...
2012-11-05
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22395 Views
01:15:52
Lecture 10: An Introduction To Bayesian Inference (II): Inference Of Parameters ...
2012-11-05
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21250 Views
01:23:47
Lecture 12: Approximating Probability Distributions (II): Monte Carlo Methods (I...
2012-11-05
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21047 Views
56:56
Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, ...
2012-11-05
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19761 Views
01:02:47
Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, S...
2012-11-05
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17836 Views
54:41
Lecture 6: Noisy Channel Coding (I): Inference and Information Measures for Nois...
2012-11-05
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16498 Views
01:27:15
Lecture 15: Data Modelling With Neural Networks (I): Feedforward Networks: The C...
2012-11-05
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15755 Views
48:35
Lecture 9: A Noisy Channel Coding Gem, And An Introduction To Bayesian Inference...
2012-11-05
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14930 Views