Summary Basic Concepts of Machine Leaning

Lecture 1: Basic Concepts of
Machine Leaning
Cognitive Systems II - Machine Learning
SS 2005
Ute Schmid (lecture)
Emanuel Kitzelmann (practice)
Maximilian Roeglinger (tutor)

Applied Computer Science, Bamberg University



Lecture 1: Basic Concepts of Machine Leaning – p. 1

, Organization of the Course
Homepage:
http://www.cogsys.wiai.uni-bamberg.de/teaching/
Prerequesites: CogSys I
Textbook: Tom Mitchell (1997). Machine Learning.
McGraw Hill.

Practice
Programming Assignments in Java
Marked exercise sheets and extra points for the exam




Lecture 1: Basic Concepts of Machine Leaning – p. 2

, Outline of the Course
Basic Concepts of Machine Learning

Basic Approaches to Concept Learning
Foundations of Concept Learning
Decision Trees
Perceptrons and Multilayer-Perceptrons
Human Concept Learning

Special Aspects of Concept Learning
Inductive Logic Programming
Genetic Algorithms
Instance-based Learning
Bayesian Learning

Lecture 1: Basic Concepts of Machine Leaning – p. 3