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.
本課程是 Machine Learning and Reinforcement Learning in Finance 專項課程 專項課程的一部分
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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.
授課大綱 - 您將從這門課程中學到什麼
Artificial Intelligence & Machine Learning
Mathematical Foundations of Machine Learning
Introduction to Supervised Learning
Supervised Learning in Finance
審閱
- 5 stars41.74%
- 4 stars24.12%
- 3 stars13.17%
- 2 stars10.95%
- 1 star10%
來自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的熱門評論
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Very useful course. Personally, I think that there should have been more focus on the implementation of tensorflow and neural network codes. Overall the course is well structured and very clear.
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.
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
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.

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