E-Learning an den Hamburger Hochschulen
Lecture: Lecture: Machine Learning and Data Mining - Details
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General information

Subtitle Module: Machine Learning and Data Mining
Course number 21594_S19
Semester SoSe 19
Current number of participants 131
Home institute Institut für Softwaresysteme (E-16)
Courses type Lecture in category Teaching
First date Tue , 02.04.2019 08:00 - 09:30, Room: (A1.15.1/2)
Pre-requisites - Calculus
- Stochastics
Performance record Written exam
ECTS points 4

Course location / Course dates

(A1.15.1/2) Tuesday: 08:00 - 09:30, weekly (14x)
(H0.07) Friday: 09:45 - 11:15, weekly (12x)

Comment/Description

- Decision trees
- First-order inductive learning
- Incremental learning: Version spaces
- Uncertainty
- Bayesian networks

- Learning parameters of Bayesian networks
BME, MAP, ML, EM algorithm- Learning structures of Bayesian networks
- Gaussian Mixture Models

- kNN classifier, neural network classifier, support vector machine (SVM) classifier

- Clustering
Distance measures, k-means clustering, nearest neighbor clustering- Kernel Density Estimation
- Ensemble Learning
- Reinforcement Learning
- Computational Learning Theory

- Artificial Intelligence: A Modern Approach (Third Edition), Stuart Russel, Peter Norvig, Prentice Hall, 2010, Chapters 13, 14, 18-21
- Machine Learning: A Probabilistic Perspective, Kevin Murphy, MIT Press 2012

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch Migration 128 13:45:31 03.09.2014
The following admission rules apply:
  • Admission locked.