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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Guided Tour of Machine Learning in Finance
This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
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Instructor: Igor Halperin
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(674 reviews)
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There are 4 modules in this course
What's included
11 videos3 readings1 assignment
What's included
6 videos3 readings1 assignment1 programming assignment1 ungraded lab
What's included
7 videos4 readings1 assignment1 programming assignment1 ungraded lab
What's included
9 videos4 readings1 assignment2 programming assignments2 ungraded labs
Instructor
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Learner reviews
674 reviews
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Reviewed on Apr 19, 2019
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
Reviewed on Jul 26, 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.
Reviewed on Nov 6, 2019
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Recommended if you're interested in Data Science
New York University
New York University
New York University
New York Institute of Finance
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