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Lecture26-InformationTheory-and-Statistics
01:25:04 duration
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25 - Entropy and Coding proofs mutual information set theory-info theory analogy
01:32:40 duration
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24 - Entropy and Coding Joint entropy conditional entropy KL-divergence
01:31:58 duration
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23 - HMMs and Continuous Time Processes
01:24:57 duration
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Evaluation
12:19 duration
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3.3-LineareUnabhaengigkeit
45:08 duration
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22 - PerronFrobeniusTheorem and Limit behaviour
01:23:59 duration
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21 - Transient and recurrent states
01:32:34 duration
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20 - Generalized Linear Models Stochastic Processes Transition Matrices of Markov C...
01:33:58 duration
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19 - Conjugate Priors Exponential Families Linear Models
01:47:59 duration
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18 - Bias variance trade-off max likelihood max a posteriori
01:23:24 duration
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Solution Exercise 27
13:31 duration
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17 - Central Limit Theorem Statistics Estimators
01:40:01 duration
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16 - Conditional Expectation and Gaussians
01:29:55 duration
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Example-DensityOfNoninvertibleFunctionOfRandomVar
23:39 duration
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Lecture 15 - Independence, Expectation, Covariance, functions of random variables
01:29:00 duration
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3.2-Untervektorraeume
47:14 duration
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Lecture 13 - Multi-objective optimization, Regularization
01:33:47 duration
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Solution Exercise 16
33:29 duration
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TDA-Lecture15-Dennis-TropicalEmbedding
01:20:11 duration
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TDA-Lecture15-Robin-fMRIWithCubicalPersistence
35:02 duration
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TDA-Lecture15-Lien-CubicalImageClassification
31:29 duration
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TDA-Lecture15-DanielUndJan-Eike-TopologyOfDeepNeuralNets
52:16 duration
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TDA-Lecture15-FelixUndMelanie-SwarmMovement
29:28 duration
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