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.
Об этом курсе
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 stars41,74 %
- 4 stars24,12 %
- 3 stars13,17 %
- 2 stars10,95 %
- 1 star10 %
Лучшие отзывы о курсе GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Специализация Machine Learning and Reinforcement Learning in Finance: общие сведения
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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.