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.
- 5 stars41.87%
- 4 stars23.90%
- 3 stars13.43%
- 2 stars10.78%
- 1 star10%
来自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的热门评论
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
Very useful course. Personally, I think that there should have been more focus on the implementation of tensorflow and neural network codes. Overall the course is well structured and very clear.
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