Machine Learning and Reinforcement Learning in Finance Specialization

This specialization aims at giving students the practical knowledge, skills, and foundations necessary to create a solid foundation in core algorithms and paradigms for machine learning (ML). Particular attention is given to how machine learning can be applied in the context of finance problems. This specialization is intended to assist students in solving real ML-amenable problems that they face every day. This includes (1) mapping the problem onto an extensive landscape of available ML methods.
(2) Choosing the ML approach that is most appropriate for the problem.
(3) Successfully implementing a solution and evaluating its effectiveness.
This specialization is available to three types of students: Bank employees, asset managers, hedge funds, and financial professionals; Individuals interested in ML applications that allow for personal day trading; Full-time students currently studying Computer Science, Statistics, or Finance. To enhance your knowledge in a particular area of ML finance, you can also take individual modules.