Summer School Trust and ML (2023/SST)
AGENDA (version 24.07.2023)
Link to the feedback form.
Preparation and set-up:
- Access to visent & Vulcan: Log-in slides on your desk (version 26.07.2023)
- Download the material in Vulcan: SST-all-exercises.pdf (version 26.07.2023)
Part 1 Thu 27.7., 9:00-11:30, Lorenzo Zanon (HLRS):
- Lectures SST-part1-lecture.pdf (version 26.07.2023/lz)
- Exercises SST-part1-exercises.pdf (version 25.07.2023/lz)
- Consult the data used in Day 1 here: S-Bahn-data (link to 2021 course)
- Notebooks, scripts, and solutions of part 1: Please contact lorenzo.zanon@hlrs.de
- Can be downloaded as a unique file here. To open the notebooks, you need to install Jupyter Notebook. To run them, you need to install Spark.
Part 2 Thu 27.7., 11:45-13:00 + 14:30-15:45, Lectures and exercises by Dr. Khatuna Kakhiani (HLRS):
Part 3 Thu 27.7., 16:00-18:00(18:30), Lectures and exercises by Layal Ali (HLRS):
- Lecture NLP-lecture.pdf (version 26.07.2023/la)
- Exercises NLP-exercises.pdf (version 26.07.2023/la)
- Notebooks, scripts, and solutions of part 3: Please contact layal.ali@hlrs.de
- Can be downloaded as a unique file here. To open the notebooks, you need to install Jupyter Notebook. To run them, you need to install Python and the following packages: transformers, datasets, evaluate, sklearn.utils, pandas, numpy.
Also useful: