- Dozent/in: Rudolf Jäger
Dear Students,
Homwork1 solution
and
Lecture notes "Recommendtion Systems"
has been uploaded.
Best wishes,
Rudolf Jäger
Dear students,
Labwork 2 has been uploaded.
You can start working on it.
Best wishes,
Rudolf Jäger
21.04.2024
Dear students,
a new version of the Labwork1 has been uploaded.
Modification: The name of the estimator beeing used for the classifier has been changed.
Best wishes,
Rudolf Jäger
Dear Students,
My course part of Algorithms for AI 3 consists of thre components:
A. Decision making Systems employing Machine Learning
- Recap of supervised learning
- Feature engineering
- Multi Class calssification
B. Introduction to Bayesian networks
C. Recommendation Systems employing C1) filtering techniques
C2) Machine Learning
There will be two programming assignments to be solved in my practical part of Algorithms for AI 3.
Therefore, a (good) knowledge of Python is desirable.
I myself will be using the Spyder IDE for demonstrating my programming sample.
So please install e.g., Spyder (via Anaconda) or any other IDE you are familiar on you Lab top. Also include scikit learn libs and other libs such as numpy, matplotlib, pyplot, etc.
My lecture part starts 10.04.2024 at 15:40h in K015. and consists of 5 blocks.
Please find below our time table.
Timetable
Looking froward to working with you.
Best wishes,
Rudolf Jäger
- Dozent/in: Rudolf Jäger