Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, Hardcover
AED 595
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This book presents frontier research on the use of computational methods to model complex interactions in economics and finance.
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What Stands Out
Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Pub date | 20230216 |
| Pages | 325 |
| Subgenre | Physics |
| Series title | Understanding Complex Systems |
| Edition | 2023 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Editor | Ragupathy Venkatachalam |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.21 in (23.4 cm) |
| Assembled product weight | 1.44 lb (650 grams) |
| Bisac subject heading | Science |
Who Should Buy?
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Academics and Researchers
Ideal for individuals conducting advanced studies in economics and finance, particularly in complex systems and AI integration.
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Data Scientists
Useful for data professionals focused on applying AI techniques to financial modeling and economic forecasting.
-
Policy Makers
Beneficial for government officials or advisors seeking to understand economic systems influenced by advanced computational methods.
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Beginners in AI
Not suitable for novice readers unfamiliar with AI concepts, as the content requires prior knowledge and understanding.
Product Description
Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, Hardcover
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Ragupathy Venkatachalam All Books Editorial Review
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Features & Benefits
- Discover innovative computational methods in economics and finance.
- Learn from 16 chapters authored by leading pioneers in multiple disciplines.
- Explore agent-based modeling, numerical simulations, and AI tools for analysis.
- Gain insights on methodology, epistemology, and predictive validation.
- Stay ahead with the latest research blending economics and machine learning.
- Uncover practical applications of advanced computational theory.
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