The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
Fundamentals of Machine Learning in Finance
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Fundamentals of Machine Learning in Finance
This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
Instructor: Igor Halperin
21,237 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.7
(335 reviews)
Intermediate level
Some related experience required
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
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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
What's included
9 videos4 readings1 programming assignment1 ungraded lab
What's included
6 videos3 readings1 programming assignment1 ungraded lab
What's included
7 videos3 readings1 programming assignment1 ungraded lab
What's included
11 videos3 readings1 programming assignment1 ungraded lab
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Instructor ratings
4.0 (26 ratings)Offered by
Recommended if you're interested in Machine Learning
Rice University
The University of Melbourne
Alberta Machine Intelligence Institute
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