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.
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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 stars41.53%
- 4 stars24.28%
- 3 stars13.25%
- 2 stars10.86%
- 1 star10.06%
GUIDED TOUR OF MACHINE LEARNING IN FINANCE의 최상위 리뷰
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
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.
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
Machine Learning and Reinforcement Learning in Finance 특화 과정 정보
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.
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