Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, Hardcover
GTQ 1295
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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
Detalles de producto
| 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.
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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.
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Casual Readers
May not appeal to those looking for light reading, as it delves deeply into technical and complex theories.
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General Public
Not recommended for non-specialists as it addresses specific economic and AI concepts that may be overly complex.
DESCRIPCIÓN DEL PRODUCTO
Understanding Complex Systems Artificial Intelligence, Learning and Computation in Economics and Finance, Hardcover
Preguntas y respuestas de los clientes
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Pregunta:
What is the primary focus of this book?
Respuesta: The book focuses on using computational methods to model and analyze complex interactions in the fields of economics and finance. -
Pregunta:
Who are the contributors to this book?
Respuesta: The book features contributions from pioneers across various fields including economics, finance, computer science, psychology, and statistics. -
Pregunta:
What methodologies are discussed in the book?
Respuesta: The book discusses methodologies such as agent-based modeling, numerical simulations, and the application of artificial intelligence and machine learning.
Ragupathy Venkatachalam All Books Editorial Review
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GTQ 1295
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características y beneficios
- 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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