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.
Über diesen Kurs
New York University
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- 5 stars41,46 %
- 4 stars24,24 %
- 3 stars13,23 %
- 2 stars11 %
- 1 star10,04 %
Top-Bewertungen von GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Despite all the problems with the assignments and the grader this course provides really good overview ML tools and their application to finance. It's definitely worth the effort
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
Über den Spezialisierung Machine Learning and Reinforcement Learning in Finance
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.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
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