Mathematical Data Science 1 [SerienID : 1234]

Semester

Sommersemester 2020

Lehrenden

Prof. Dr. Daniel Tenbrinck Prof. Dr. Daniel Tenbrinck

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aktualisiert

2020-10-06 14:28:52

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2

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    00:36:40
    # 1
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    Introduction to Data Science
    Prof. Dr. Daniel Tenbrinck
    2020-04-13 Sommersemester 2020
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    00:06:15
    # 1
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    Clustering - Intro
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:22:06
    # 2
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    Clustering - K-Means
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:43:07
    # 3
    Nur für Portal
    Clustering - Gaussian Mixture Model
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:19:29
    # 4
    Nur für Portal
    Clustering - The general EM algorithm
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:16:49
    # 5
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    Clustering - The EM algorithm for Gaussian Mixture Models
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:13:05
    # 6
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    Clustering - Some comments on EM and K-means
    Dr. Philipp Wacker
    2020-04-27 Sommersemester 2020
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    00:39:11
    # 7
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    (Linear) Principal Component Analysis
    Prof. Dr. Daniel Tenbrinck
    2020-05-04 Sommersemester 2020
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    00:44:37
    # 8
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    Kernel Principal Component Analysis
    Prof. Dr. Daniel Tenbrinck
    2020-05-11 Sommersemester 2020
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    00:27:56
    # 9
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    Random variables
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:17:55
    # 10
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    Nonsingular Bayes' Law
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:15:30
    # 11
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    Bayes law for random variables
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:35:03
    # 12
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    Bayesian Inverse Problems
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:22:38
    # 13
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    Monte Carlo integration
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:13:07
    # 14
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    Obtaining samples directly
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:18:15
    # 15
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    Importance Sampling
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:14:42
    # 16
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    Rejection Sampling
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:29:26
    # 17
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    Markov chains
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:05:49
    # 18
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    Convergence of Markov chains
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:20:03
    # 19
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    Metropolis--Hastings
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:14:21
    # 20
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    Correctness of Metropolis--Hastings
    Dr. Philipp Wacker
    2020-05-14 Sommersemester 2020
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    00:38:25
    # 21
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    Introduction to Machine Learning
    Prof. Dr. Daniel Tenbrinck
    2020-06-07 Sommersemester 2020
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    00:40:58
    # 22
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    Artificial Neural Networks in a Nutshell
    Prof. Dr. Daniel Tenbrinck
    2020-06-08 Sommersemester 2020
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    00:49:03
    # 23
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    Training Artificial Neural Networks using Backpropagation
    Prof. Dr. Daniel Tenbrinck
    2020-06-15 Sommersemester 2020
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    00:23:42
    # 24
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    Optimisation in Training Artificial Neural Networks
    Prof. Dr. Daniel Tenbrinck
    2020-06-19 Sommersemester 2020
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    00:37:37
    # 27
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    Student talk: Linear Support Vector Machines
    Prof. Dr. Daniel Tenbrinck
    2020-07-22 Sommersemester 2020