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Machine Learning for Engineers I 2022/2023 /CoursesID:3261
- Most recent entry on 2022-12-01
Lecturer
Prof. Dr. Björn Eskofier
Organisational Unit
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Recording type
Vorlesungsreihe
Via
Studon
Language
Course chapters
1 . Introduction to Machine Learning
Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Organizational Information
Prof. Dr. Björn Eskofier
2022-10-18
Studon
00:05:58
slides
audio
captions
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2
Motivation 1
Prof. Dr. Björn Eskofier
2022-10-18
Studon
00:08:12
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audio
captions
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3
Motivation 2
Prof. Dr. Björn Eskofier
2022-10-18
Studon
00:12:19
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audio
captions
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4
Machine Learning Types Supervised Learning
Prof. Dr. Björn Eskofier
2022-10-18
Studon
00:14:35
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audio
captions
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5
Machine Learning Types Unsupervised Learning
Prof. Dr. Björn Eskofier
2022-10-18
Studon
00:10:33
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audio
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6
Machine Learning Types Reinforcement Learning
Prof. Dr. Björn Eskofier
2022-10-30
Studon
00:04:13
slides
audio
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7
Machine Learning Pipeline
Prof. Dr. Björn Eskofier
2022-10-19
Studon
00:14:15
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audio
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8
Summary
Prof. Dr. Björn Eskofier
2022-10-19
Studon
00:02:32
slides
audio
captions
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2 . Linear and Logistic Regression
Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Linear Regression Motivation
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:03:05
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audio
captions
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2
Linear Regression Motivation Example
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:07:36
slides
audio
captions
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3
Linear Regression Overall Picture
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:04:49
slides
audio
captions
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4
Linear Regression The Linear Model
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:13:21
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audio
captions
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5
Linear Regression Optimization (1/3)
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:06:43
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audio
captions
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6
Linear Regression Optimization (2/3)
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:11:35
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audio
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7
Linear Regression Optimization (3/3)
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:08:52
slides
audio
captions
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8
Basis Functions
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:11:04
slides
audio
captions
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9
Logistic Regression Motivation
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:06:18
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audio
captions
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10
Logistic Regression The Logistic Model
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:07:12
slides
audio
captions
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11
Logistic Regression Optimization
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:08:01
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audio
captions
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12
Overfitting & Underfitting
Prof. Dr. Björn Eskofier
2022-10-14
Studon
00:12:12
slides
audio
captions
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3 . Support Vector Machine
Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Problem Statement (1/2)
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:06:12
slides
audio
captions
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2
Problem Statement (2/2)
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:05:47
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audio
captions
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3
Optimization Intro
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:05:23
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audio
captions
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4
Optimization: Solution using Partial Derivatives
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:05:57
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audio
captions
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5
Optimization Summary
Prof. Dr. Björn Eskofier
2022-12-01
Studon
00:01:55
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audio
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6
SVM Basis Functions
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:04:48
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audio
captions
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7
Intro to Kernel Trick
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:08:04
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audio
captions
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8
SVM Types of Kernels
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:05:47
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audio
captions
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9
SVM Hard and Soft Margin
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:06:51
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audio
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10
SVM Regression
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:07:39
slides
audio
captions
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11
SVM Summary
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:03:48
slides
audio
captions
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4 . Principal Component Analysis
Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Intuition
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:07:20
slides
audio
captions
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2
Mathematics 1
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:05:33
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3
Mathematics 2
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:07:08
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audio
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4
Applications
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:10:56
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audio
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5
Summary
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:03:03
slides
audio
captions
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5 . Deep Learning
Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Perceptron
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:09:32
slides
audio
captions
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2
Multilayer Perceptron
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:07:46
slides
audio
captions
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3
Loss function
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:10:43
slides
audio
captions
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4
Gradient Descent
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:10:10
slides
audio
captions
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5
Learning Process
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:07:11
slides
audio
captions
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6
Convolution
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:10:35
slides
audio
captions
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7
Pooling
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:08:09
slides
audio
captions
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8
Applications
Prof. Dr. Björn Eskofier
2022-10-16
Studon
00:06:10
slides
audio
captions
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More courses from Prof. Dr. Björn Eskofier
Digital Psychology Lab 2023/2024
Prof. Dr. Björn Eskofier
lecture
2021-03-09
IdM-login
tech talk. Einblicke in die digitale Transformation
Prof. Dr. Björn Eskofier
2019-02-05
Free / IdM-login
Machine Learning for Engineers I 2021/2022
Prof. Dr. Björn Eskofier
lecture
2022-02-16
Studon
Human Computer Interaction (HCI) 2016
Prof. Dr. Björn Eskofier
lecture
2016-07-11
IdM-login
Biomedizinische Signalanalyse 2013/2014
Prof. Dr. Björn Eskofier
lecture
2014-02-04
Studon
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