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 stars41.77%
- 4 stars23.91%
- 3 stars13.66%
- 2 stars10.71%
- 1 star9.93%
來自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的熱門評論
This will be a 5 star course when all of the technical issues are resolved. More timely feedback from the staff is desirable as well.
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
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.