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.
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New York University
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- 5 stars41,46 %
- 4 stars24,24 %
- 3 stars13,23 %
- 2 stars11 %
- 1 star10,04 %
Meilleurs avis pour GUIDED TOUR OF MACHINE LEARNING IN FINANCE
This will be a 5 star course when all of the technical issues are resolved. More timely feedback from the staff is desirable as well.
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
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 is easy to understand and give insightful details on how to apply machine learning in finance
À propos du Spécialisation 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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