English
DeutschWelcome to the Machine Learning and Data Mining course of winter terms 2018/2019!
Inter-student communication: Please use the newsgroup infko-mldm here.
Schedule
Lecture and Tutorial - Machine Learning and Data Mining (6 ECTS; for Master and Bachelor students in Web Science, Computer Science, Computational Visualistics and Business Informatics)
TODO
- Teams
- Literature
- An Introduction to Statistical Learning with Applications in R. Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Free for download: http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Trevor Hastie, Robert Tibshirani, Jerome Friedman. Free download: https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf - Exams
Course Material
Coming soon.
| Date | Lecture Topic | Slides |
|---|---|---|
| 24.10.2018 | ||
| 31.10.2018 | ||
| 07.11.2018 | ||
| 14.11.2018 | ||
| 21.11.2018 | ||
| 28.11.2018 | ||
| 05.12.2018 | ||
| 12.12.2018 | ||
| 19.12.2018 | ||
| 26.12.2018 | Vacation | |
| 02.01.2019 | Vacation | |
| 09.01.2019 | ||
| 16.01.2019 | ||
| 23.01.2019 | ||
| 30.01.2019 | ||
| 06.02.2019 | ||
| Date | Tutorial Topic | Slides |
|---|---|---|
| 24./25./26.10. | Tutorial and assignment structure, groups and SVN introduction | |
| 31.10/2.11. (1.11 is holiday!) | ||
| 07./08./09.11. | ||
| 14./15./16.11. | ||
| 21./22./23.11. | ||
| 28./29./30.11. | ||
| 05./06./07.12. | ||
| 12./13./14.12. | ||
| 19./20./21. | ||
| 09./10./11.01. | ||
| 16./17./18.01. | ||
| 23./24./25.01. | ||
| 30./31.01./01.02. | ||
| 06./07./08.02. |
Assignments
Coming soon.
Exam
Coming soon.
Beteiligte:
Prof. Dr. Steffen Staab
staab@uni-koblenz.de
Raphael Menges
raphaelmenges@uni-koblenz.de