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.
Informações sobre o curso
New York University
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- 5 stars41,74%
- 4 stars24,12%
- 3 stars13,17%
- 2 stars10,95%
- 1 star10%
Principais avaliações do GUIDED TOUR OF MACHINE LEARNING IN FINANCE
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!
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
Sobre Programa de cursos integrados 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.
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