eBook
Reinforcement Learning for Finance : A Python-Based Introduction
| Τίτλος: | Reinforcement Learning for Finance : A Python-Based Introduction |
|---|---|
| Περιγραφή: | Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research.This book is among the first to explore the use of reinforcement learning methods in finance.Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners, financial traders, portfolio managers, strategists, and analysts will focus on the implementation of these algorithms in the form of self-contained Python code and the application to important financial problems.This book covers:Reinforcement learningDeep Q-learningPython implementations of these algorithmsHow to apply the algorithms to financial problems such as algorithmic trading, dynamic hedging, and dynamic asset allocationThis book is the ideal reference on this topic. You'll read it once, change the examples according to your needs or ideas, and refer to it whenever you work with RL for finance.Dr. Yves Hilpisch is founder and CEO of The Python Quants, a group that focuses on the use of open source technologies for financial data science, AI, asset management, algorithmic trading, and computational finance. |
| Συγγραφείς: | Yves Hilpisch |
| Resource Type: | eBook. |
| Θέματα: | Finance--Mathematical models--Data processing, Reinforcement learning, Python (Computer program language) |
| Categories: | COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Languages / Python, BUSINESS & ECONOMICS / Industries / Financial Services |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4041421 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4041421 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 332.0285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Finance--Mathematical models--Data processing Type: general – SubjectFull: Reinforcement learning Type: general – SubjectFull: Python (Computer program language) Type: general Titles: – TitleFull: Reinforcement Learning for Finance : A Python-Based Introduction Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yves Hilpisch – PersonEntity: Name: NameFull: Yves Hilpisch IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 15 M: 04 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9781098169145 – Type: isbn-electronic Value: 9781098168483 – Type: isbn-electronic Value: 9781098168476 Titles: – TitleFull: Reinforcement Learning for Finance : A Python-Based Introduction Type: main |
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