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%
来自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的热门评论
The course is easy to understand and give insightful details on how to apply machine learning in finance
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
The Lectures and given readings are very useful and it is required to read them to complete the assignments which will otherwise be difficult
关于 Machine Learning and Reinforcement Learning in Finance 专项课程
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.