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).
It is rapidly developing and changing 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.
Goals of the course
As a result of participating in this course, a student is expected to
- understand the goals and capabilities of machine learning,
- apply machine learning approaches to real-world financial problems,
- use important data analytics methods to evaluate large data sets,
- using an approachable, and well-known programming language, Python.
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