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.
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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.
授課大綱 - 您將從這門課程中學到什麼
Black-Scholes-Merton model, Physics and Reinforcement Learning
Reinforcement Learning for Optimal Trading and Market Modeling
Perception - Beyond Reinforcement Learning
Other Applications of Reinforcement Learning: P-2-P Lending, Cryptocurrency, etc.
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- 4 stars8%
- 3 stars6.66%
- 2 stars8%
- 1 star18.66%
來自OVERVIEW OF ADVANCED METHODS OF REINFORCEMENT LEARNING IN FINANCE的熱門評論
It was very difficult to get the peer-graded assignments graded.
Great refreshment on Stochastic calculus and overall rewind of the specialization!
關於 Machine Learning and Reinforcement Learning in Finance 專項課程
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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