| Machine Learning and Data Mining (VL) |
| Subtitle: |
| This course is part of the module: Machine Learning and Data Mining |
| Semester: |
| SoSe 24 |
| Course type: |
| Lecture |
| Course number: |
| lv340_s24 |
| Lecturer: |
| Dipl. Informatiker Rainer Marrone |
| 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
|
| Performance accreditation: |
| 620 - Machine Learning and Data Mining<ul><li>620 - Machine Learning and Data Mining: Klausur schriftlich</li></ul> |
| ECTS credit points: |
| 6 |
| Stud.IP informationen about this course: |
Home institute: Institut für Softwaresysteme (E-16)
Registered participants in Stud.IP: 160
|
