The course "Numerical Methods for Data Science" is a self-study course of type 2+1+1 SWS and takes place in summerterm 2021. There is a 2-hour lecture and a 2-hour exercise class every week.

• Please contact Laura Burr if there are any questions about the lecture or exercise class. 

• Due to the special circumstances this course will be a self-study course with online support by the lectures.
• Both, the lecture notes and the exercise sheets are available on Moodle.
• The first material will be provided on Monday, 19th of April. 

• Learning
• Least-Squares regression: SVD
• Clustering and Classification
• Machine learning, neural networks and others
• Automatic differentiation
• Probabilistic methods

General Information

• All informations about the exercise class can be found on Moodle.

 

• 50% of the theory points as well as 50% of the programming points must be edited.