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.
이 강좌에 대하여
- 5 stars41.87%
- 4 stars23.90%
- 3 stars13.43%
- 2 stars10.78%
- 1 star10%
GUIDED TOUR OF MACHINE LEARNING IN FINANCE의 최상위 리뷰
Good material but assignments explanation were too sparse and even expectation of material not covered in videos or readings (example is Tobit regression in week 4).
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
More or less this course is good and interesting. However, homework assignments were awful. It's unclear and it's very hard to understand what is asked and how it would be graded.
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
Machine Learning and Reinforcement Learning in Finance 특화 과정 정보
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