Methods of data analysis II & Introduction to machine learning
Lecturers
Details
Time and place:
- Do 14:00-15:30, Room HF
Fields of study
- WF Ph-BA 56789ABCDEF
- WF Ph-MA 123456789ABCDEF
Prerequisites / Organisational information
Useful prerequisites: Methods of Data Analysis I and basic knowledge of Python programming.
Content
Learning goals:
- Use advanced reconstruction tools to analyze data from a state of the art experiment
- Familiarize with different tools from the class of machine learning
- Learn the concepts of scientific validation of software
5 lectures about various topics in advanced data-analysis and machine learning
8 weeks of hands-on problem solving on a recent problem in the field.
Writing report as final product.