Mathematical Data Science 1 2020 /CoursesID:1234

Detailed information

Keywords: Perceptron backpropagation classification deep learning Gradient descent Neural Network Data Science Training data Support Vector Machine Hyperplane Supervised learning

Most recent entry on 2020-07-22 

Organisational Unit

Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)

Recording type

Vorlesungsreihe

Language

English

Associated Clips

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

More courses from Dr. Daniel Tenbrinck

Schloss1
Dr. Daniel Tenbrinck
2020-11-04
IdM-login
Schloss1
Dr. Daniel Tenbrinck
lecture
2021-06-17
Free
Schloss1
Dr. Daniel Tenbrinck
lecture
2021-06-24
Free