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.
This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
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Syllabus - What you will learn from this course
Artificial Intelligence & Machine Learning
Mathematical Foundations of Machine Learning
Introduction to Supervised Learning
Supervised Learning in Finance
Reviews
- 5 stars41.77%
- 4 stars23.91%
- 3 stars13.66%
- 2 stars10.71%
- 1 star9.93%
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
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).
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.
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.
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.
About the Machine Learning and Reinforcement Learning in Finance Specialization

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