| Lecturer | Prof. Dr. van der Smagt |
| Module | Modul IN2064 |
| Type | Lecture |
| Language | English |
| Semester | WS 2010/2011 |
| ECTS | 6.0 |
| SWS | 3V+2Ü |
| Audience | Obligatory course for students of RCI Elective course for students of Informatics (Diplom 5+, Bachelor 5+, Master 1+) Elective course for students of Business Informatics (Bachelor 5+) |
| Prerequisite | Analysis I/II, Linear Algebra I/II and Probability Theory. |
| Time & Location | Lecture is cancelled |
| Certificate | Final written exam |
News
2010/10/18: Lecture is cancelled for the winter term (WS) 2010/2011Description
This lecture will take you on a journey through the exciting and highly active field of Machine Learning, which has applications in areas as diverse as web searches, robotics, data mining, environmental sciences, medical data analysis, and many more. The lecture will follow loosely the textbook by Christopher Bishop, referenced below.Material
Exercises
Suggested Reading
| [1] | David J. C. MacKay. Information theory, inference, and learning algorithms. Cambridge Univ. Press, 2008. |
| [2] | Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, Berlin, New York, 2006. |
| [3] | R.S. Sutton and A.G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998. |
| [4] | Tom M. Mitchell. Machine learning. McGraw-Hill, Boston, Mass., 1997. |