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.
Guided Tour of Machine Learning in Finance
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Guided Tour of Machine Learning in Finance
This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
Instructor: Igor Halperin
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681 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
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4 assignments
Taught in English
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This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Showing 3 of 681
DW
Reviewed on Sep 8, 2019
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
KN
Reviewed on Jul 25, 2022
Great course. but requires lot of patience. Uses lot of unnecessary symbols and equations to explain concepts. Overall it is a good overview of the big picture of ML in finance.
FB
Reviewed on Nov 5, 2019
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
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