SDA SE Wiki
Software Engineering for Smart Data Analytics & Smart Data Analytics for Software Engineering
User Tools
Sidebar
KGA Slides
Here you find the slides of the lecture.
| Date | Chapter/Topic | Slides |
|---|---|---|
| 09.10.2018 | 01. Motivation | 01-motivation.pdf |
| 16.10.2018 | 02. Semantic Knowledge Graphs | 02-triplestores.pdf |
| 30.10.2018 | 03. Property Graph Databases | 03-propertygraphdatabases.pdf |
| 06.11.2018 | 04. Statistical Relational Learning | 04-statistcalrelationlearning.pdf |
| 13.11.2018 | 05. Tensor-Factorization Methods | 05-tensors.pdf |
| 28.11.2018 | 06. Stochastic Gradient Descent and Alternating Least Squares | 06-sgd_als.pdf |
| 04.12.2018 | 07. (Feed Forward) Neural Networks | 07-neuralnetworks.pdf |
| 11.12.2018 | 08. Neural Networks for Knowledge Graphs analysis | 08-nnsforkga.pdf |
| 18.12.2018 | 09. Latent Distance and Graph Feature models | 09-latentdisctancemodels.pdf |
| 15.01.2019 | 10. Training Statistical Relational Learning Models | 10-trainingsrlmodels.pdf |
| 22.01.2019 | 11. Markov Logic Networks | 11-mlns.pdf |
| 29.01.2019 | 12. Summary | 12-summary.pdf |
teaching/lectures/kga/2018/slides.txt · Last modified: 2019/01/30 09:46 by hamed.shariat
Page Tools
