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Practical Agentic AI for Finance with Python: A Step-by-Step Practical Hands-on for Beginners - Softcover
Synopsis
The field of finance is undergoing a significant transformation, powered by the rapid advancements in artificial intelligence (AI) and machine learning. These technologies are not only reshaping the way financial institutions operate but also providing individual investors and analysts with tools that were once considered out of reach. "Practical Agentic AI for Finance with Python: A Step-by-Step Hands-on Approach for Beginners" is designed to guide readers through the process of applying AI techniques to financial problems, making these powerful tools accessible to both newcomers and those looking to enhance their skill set in finance. Through a hands-on approach, this book demystifies AI and shows how it can be used to create intelligent systems that make data-driven financial decisions.
This book is structured to provide a comprehensive introduction to practical agent-based AI systems, focusing specifically on their application in the world of finance. Readers will learn how to use Python—a versatile, easy-to-learn programming language widely used in the finance industry—to build intelligent agents that can perform tasks such as portfolio optimization, risk assessment, and algorithmic trading. Each chapter is designed to gradually introduce concepts and build practical skills, with clear, step-by-step examples that help readers apply what they learn to real-world financial challenges. Whether you're looking to build your first AI-powered financial model or deepen your understanding of existing techniques, this book offers an approachable path for beginners.
The integration of agentic AI into finance promises not only to enhance decision-making but also to democratize access to sophisticated financial analysis and strategy. By the end of this book, you will have a solid foundation in both the theory and practice of using AI in finance. This practical, hands-on guide will empower you to confidently apply machine learning techniques in real-world financial scenarios, helping you stay ahead of the curve in an increasingly data-driven industry. Whether you’re a student, a finance professional, or simply an AI enthusiast, this book will provide you with the skills and insights necessary to navigate and thrive in the evolving financial landscape.
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Paperback. Condition: new. Paperback. The field of finance is undergoing a significant transformation, powered by the rapid advancements in artificial intelligence (AI) and machine learning. These technologies are not only reshaping the way financial institutions operate but also providing individual investors and analysts with tools that were once considered out of reach. "Practical Agentic AI for Finance with Python: A Step-by-Step Hands-on Approach for Beginners" is designed to guide readers through the process of applying AI techniques to financial problems, making these powerful tools accessible to both newcomers and those looking to enhance their skill set in finance. Through a hands-on approach, this book demystifies AI and shows how it can be used to create intelligent systems that make data-driven financial decisions. This book is structured to provide a comprehensive introduction to practical agent-based AI systems, focusing specifically on their application in the world of finance. Readers will learn how to use Python-a versatile, easy-to-learn programming language widely used in the finance industry-to build intelligent agents that can perform tasks such as portfolio optimization, risk assessment, and algorithmic trading. Each chapter is designed to gradually introduce concepts and build practical skills, with clear, step-by-step examples that help readers apply what they learn to real-world financial challenges. Whether you're looking to build your first AI-powered financial model or deepen your understanding of existing techniques, this book offers an approachable path for beginners. The integration of agentic AI into finance promises not only to enhance decision-making but also to democratize access to sophisticated financial analysis and strategy. By the end of this book, you will have a solid foundation in both the theory and practice of using AI in finance. This practical, hands-on guide will empower you to confidently apply machine learning techniques in real-world financial scenarios, helping you stay ahead of the curve in an increasingly data-driven industry. Whether you're a student, a finance professional, or simply an AI enthusiast, this book will provide you with the skills and insights necessary to navigate and thrive in the evolving financial landscape. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798316244928
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Practical Agentic AI for Finance with Python (Paperback)
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Paperback. Condition: new. Paperback. The field of finance is undergoing a significant transformation, powered by the rapid advancements in artificial intelligence (AI) and machine learning. These technologies are not only reshaping the way financial institutions operate but also providing individual investors and analysts with tools that were once considered out of reach. "Practical Agentic AI for Finance with Python: A Step-by-Step Hands-on Approach for Beginners" is designed to guide readers through the process of applying AI techniques to financial problems, making these powerful tools accessible to both newcomers and those looking to enhance their skill set in finance. Through a hands-on approach, this book demystifies AI and shows how it can be used to create intelligent systems that make data-driven financial decisions. This book is structured to provide a comprehensive introduction to practical agent-based AI systems, focusing specifically on their application in the world of finance. Readers will learn how to use Python-a versatile, easy-to-learn programming language widely used in the finance industry-to build intelligent agents that can perform tasks such as portfolio optimization, risk assessment, and algorithmic trading. Each chapter is designed to gradually introduce concepts and build practical skills, with clear, step-by-step examples that help readers apply what they learn to real-world financial challenges. Whether you're looking to build your first AI-powered financial model or deepen your understanding of existing techniques, this book offers an approachable path for beginners. The integration of agentic AI into finance promises not only to enhance decision-making but also to democratize access to sophisticated financial analysis and strategy. By the end of this book, you will have a solid foundation in both the theory and practice of using AI in finance. This practical, hands-on guide will empower you to confidently apply machine learning techniques in real-world financial scenarios, helping you stay ahead of the curve in an increasingly data-driven industry. Whether you're a student, a finance professional, or simply an AI enthusiast, this book will provide you with the skills and insights necessary to navigate and thrive in the evolving financial landscape. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798316244928
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