In the last course of our specialization, Overview of Advanced Methods of Reinforcement Learning in Finance, we will take a deeper look into topics discussed in our third course, Reinforcement Learning in Finance.
This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
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Course 4 of 4 in the
Advanced Level
Approx. 13 hours to complete
English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Advanced Level
Approx. 13 hours to complete
English
Offered by
Syllabus - What you will learn from this course
4 hours to complete
Black-Scholes-Merton model, Physics and Reinforcement Learning
4 hours to complete
13 videos (Total 103 min)
3 hours to complete
Reinforcement Learning for Optimal Trading and Market Modeling
3 hours to complete
8 videos (Total 73 min)
3 hours to complete
Perception - Beyond Reinforcement Learning
3 hours to complete
8 videos (Total 60 min)
3 hours to complete
Other Applications of Reinforcement Learning: P-2-P Lending, Cryptocurrency, etc.
3 hours to complete
9 videos (Total 79 min)
Reviews
- 5 stars60.25%
- 4 stars7.69%
- 3 stars6.41%
- 2 stars7.69%
- 1 star17.94%
TOP REVIEWS FROM OVERVIEW OF ADVANCED METHODS OF REINFORCEMENT LEARNING IN FINANCE
by DDDec 11, 2019
Great refreshment on Stochastic calculus and overall rewind of the specialization!
by ITDec 8, 2019
It was very difficult to get the peer-graded assignments graded.
About the Machine Learning and Reinforcement Learning in Finance Specialization

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