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
About this Course
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
- 5 stars41.91%
- 4 stars23.88%
- 3 stars13.71%
- 2 stars10.63%
- 1 star9.86%
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 is easy to understand and give insightful details on how to apply machine learning in finance
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.
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
About the Machine Learning and Reinforcement Learning in Finance Specialization
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