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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Machine Learning and Reinforcement Learning in Finance SpecializationNew York UniversityAbout this Course
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Course 4 of 4 in the
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Advanced Level
Approx. 13 hours to complete
English
Subtitles: English
Instructor
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 13 hours to complete
English
Subtitles: English
Offered by
New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
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
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
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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