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This book is organized by [TheQuantHackers Community] (https://llmquant.com/) and provides PDF downloads. It is only for learning and communication. The copyright belongs to the original author.
This book is organized by [TheQuantHackers Community] (https://llmquant.com/) and provides PDF downloads. It is only for learning and communication. The copyright belongs to the original author.
<img src="1.png" alt="Artificial Intelligence, Learning and Computation in Economics and Finance" width="200"/>Artificial Intelligence, Learning and Computation in Economics and Finance is a professional book on quantitative finance, covering cutting-edge research on computational methods in modeling complex interactions in economics and finance. This book explores the effective application of computing tools such as artificial intelligence, machine learning, and simulation to analyze and learn from big data and new types of data. The book introduces a variety of mathematical techniques and methods, including agent-based modeling, numerical simulations, computable economics, and artificial intelligence and machine learning algorithms. In addition, the book discusses the methodology, epistemology, and history of computational methods in economic analysis, as well as issues related to prediction, verification, and inference.
Here is a preview of the book’s main chapters:
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本书籍由TheQuantHackers社区整理, 并提供PDF下载, 只供学习交流使用, 版权归原作者所有。Artificial Intelligence, Learning and Computation in Economics and Finance 是一本关于量化金融的专业书籍，涵盖了计算方法在经济学和金融领域复杂交互建模中的前沿研究。本书探讨了人工智能、机器学习和模拟等计算工具在分析和学习大数据及新型数据方面的有效应用。书中介绍了多种数学技术和方法，包括基于代理的建模（Agent-based modeling）、数值模拟（numerical simulations）、可计算经济学（computable economics）以及人工智能和机器学习算法。此外，本书还讨论了计算方法在经济分析中的方法论、认识论、历史以及预测、验证和推断等相关问题。
以下是本书的主要章节预览：
本书籍由TheQuantHackers社区整理, 并提供PDF下载, 只供学习交流使用, 版权归原作者所有。
Artificial Intelligence, Learning and Computation in Economics and Finance 是一本关于量化金融的专业书籍，涵盖了计算方法在经济学和金融领域复杂交互建模中的前沿研究。本书探讨了人工智能、机器学习和模拟等计算工具在分析和学习大数据及新型数据方面的有效应用。书中介绍了多种数学技术和方法，包括基于代理的建模（Agent-based modeling）、数值模拟（numerical simulations）、可计算经济学（computable economics）以及人工智能和机器学习算法。此外，本书还讨论了计算方法在经济分析中的方法论、认识论、历史以及预测、验证和推断等相关问题。
以下是本书的主要章节预览：
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