In-class and Remote Summer School
July 12 - July 30, 2021 in Munich, Germany
Due to the current situation the course takes place two weeks in Munich at the LMU and one week remote. The two-weeks course phase takes place at the center of Munich and is preceded by a 1-week remote preparation phase. During the preparation phase basic key concepts will be taught online. If the situation does not allow a face-to-face meeting in Munich, the course will take place entirely remote giving you the security that it will take place in any case.
An increasingly complex global business environment requires firms’ to make use of the large amounts of data out there in order to make better decisions. Machine learning allows to “automatically detect patterns in data, and then use the uncovered patterns to predict future data” (K. Murphy, Research Scientist at Google).
Using data analytics techniques, large data and detected patterns can be visualized and communicated to decision makers. Both, rapidly evolve and change businesses as well as companies’ financial processes. This opens up the possibility of using machine learning approaches to cope with complicated real-world financial problems that are too complex for humans.
The goals of the course are:
As a result of participating in this course, which is part of the MISU - Munich International Summer University, a student is expected to
- understand the goals and capabilities of machine learning
- apply machine learning approaches using Python to real-world financial problems
- use important data analytics methods in Python to evaluate large data sets
Advance your career and widen your network !