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 stars41.60%
- 4 stars24.32%
- 3 stars13.12%
- 2 stars10.88%
- 1 star10.08%
來自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的熱門評論
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
Great overview. Please provide more code examples as homework require a lot more than what the class covers!
The course is easy to understand and give insightful details on how to apply machine learning in finance
關於 Machine Learning and Reinforcement Learning in Finance 專項課程
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.