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.
New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
- 5 stars41.46%
- 4 stars24.24%
- 3 stars13.23%
- 2 stars11%
- 1 star10.04%
GUIDED TOUR OF MACHINE LEARNING IN FINANCE からの人気レビュー
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.
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.
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
The course is easy to understand and give insightful details on how to apply machine learning in finance
Machine Learning and Reinforcement Learning in Finance専門講座について
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.