Software Engineering for Smart Data Analytics & Smart Data Analytics for Software Engineering
This is an old revision of the document!
Date | Chapter/Topic | Slides (and date of last update) |
---|---|---|
10.10.17 | 01. Motivation | 01-motivation.pdf |
25.11.17 | 02. RDF Databases | 02-rdfdatabases.pdf |
31.10.17 | - public holiday - | |
07.11.17 | 03. Property Graph Databases | 03-propertygraphdatabases.pdf |
14.11.17 | 04. Statistical relational learning | 04-statistcalrelationlearning.pdf |
21.11.17 | 05. Tensor-Factorization methods | 05-tensors.pdf |
28.11.17 | 06. Alternating Least Squares and Stochastic Gradient Descent | 06-sgd_als.pdf |
05.12.17 | ||
12.12.17 | 07. Introducing Neural Networks | 07-neuralnetworks.pdf |
19.12.17 | 08. Neural Networks for KGA | 08-nnsforkga.pdf |
09.12.17 | 09. Latent Distance and Graph Feature models | 09-ldandgfmodels.pdf |
16.01.18 | 10. Training SRL Models | 10-trainingsrlmodels.pdf |
23.01.18 | 11. Markov Logic Networks | 11-mlns.pdf |
30.01.18 | 12. Summary | 12-summary.pdf |
06.02.18 |
The Slides of the talk of our invited speaker Paul Groth can be found here:
Date | Chapter/Topic | Slides (and date of last update) |
---|---|---|
07.02.17 | Knowledge Graph Analysis in Practice | kg-analysis-elsevier-feb82017.pptx |