This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
About this Course
- 5 stars41.54%
- 4 stars24.01%
- 3 stars13.42%
- 2 stars10.90%
- 1 star10.11%
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Despite all the problems with the assignments and the grader this course provides really good overview ML tools and their application to finance. It's definitely worth the effort
The course content is a mix of theory and practical stuff. One star off is due to the poor quality of programming assignment, i.e., unclear instructions and explanations.
The course is easy to understand and give insightful details on how to apply machine learning in finance
About the Machine Learning and Reinforcement Learning in Finance Specialization
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