Machine Learning In Finance Risk Management Trading And Fraud Detection
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Machine Learning In Finance Risk Management Trading And Fraud Detection
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Author : Dr. Aman Gupta
language : en
Publisher: Xoffencerpublication
Release Date : 2023-07-04
Machine Learning In Finance Risk Management Trading And Fraud Detection written by Dr. Aman Gupta and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Computers categories.
Artificial intelligence (AI) systems are machine-based systems with varying degrees of autonomy that generate predictions, suggestions, or judgements for a set of humanspecified goals utilizing enormous numbers of alternative data sources and data analytics referred to as "big data"3 (OECD, 2019). Artificial intelligence (AI) systems are sometimes referred to as intelligent machines. Systems that are powered by artificial intelligence (AI) are increasingly finding applications in a wide range of fields, including the medical field, the financial sector, and the armed forces. Common synonyms for artificial intelligence (AI) include "machine learning" and "machine learning systems." An explanation of artificial intelligence may be found in the following: "Artificial intelligence systems" are defined by the Oxford English Dictionary as "machine-based systems that can exhibit varying degrees of autonomy." You may learn more about this concept by reading the page titled "Artificial Intelligence Systems." Once they have access to the data, the models have the potential to "self-improve" by inferentially learning from further data sets without the need for human instruction. This may occur if they learn to draw conclusions from other data sets via inference. The acceleration and strengthening of a tendency toward digitalization that was already apparent before the pandemic is a direct outcome of the spread of the COVID-19 virus. This trend was already clear before the epidemic. Utilization of artificial intelligence is included in this trend. The abundance of data that is already available, in addition to the advancements in computer capacity that have made computers both more affordable and more powerful, have made it possible for artificial intelligence to play an increasingly important role in the financial sector. This role can be seen in asset management, algorithmic trading, credit underwriting, and blockchain-based financial services, among other applications. AI4 is integrated into goods and services across a wide range of sectors, including healthcare, autos, consumer items, and the phrase "internet of things" is abbreviated as "IoT."
Machine Learning In Finance
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Author : Musa Gün
language : en
Publisher: Springer Nature
Release Date : 2025-03-29
Machine Learning In Finance written by Musa Gün and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Business & Economics categories.
This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pace, the financial industry, like every other sector, must adapt accordingly. Furthermore, the rapid expansion of diverse financial products and services is creating new applications and markets. Alongside technological progress, the exploration of complex patterns in vast amounts of data, known as big data, is facilitated by its commonly acknowledged characteristics: volume, variety, veracity, value, and velocity. Overall, machine learning has become crucial in the financial industry, allowing businesses to automate operations, gain insights from data, and make more informed decisions in real time. This edited book covers algorithmic trading, risk management, fraud detection, customer service and personalization, portfolio management, credit scoring, sentiment analysis, and algorithmic pricing. The book connects theoretical concepts with practical real-world applications, benefiting professionals looking to enhance their proficiency in using these methods efficiently. It offers insightful guidance for theorists, market participants, and policymakers by exploring financial theories and practices in light of contemporary machine-learning approaches, with a special emphasis on emerging economies.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Machine Learning And Modeling Techniques In Financial Data Science
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Machine Learning And Modeling Techniques In Financial Data Science written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Machine Learning Approaches In Financial Analytics
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Author : Leandros A. Maglaras
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Machine Learning Approaches In Financial Analytics written by Leandros A. Maglaras and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.
This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.
Machine Learning
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-12-22
Machine Learning written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Computers categories.
Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses–cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.
Machine Learning For Financial Professionals
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Author : Bharat Mishra
language : en
Publisher: Educohack Press
Release Date : 2024-12-15
Machine Learning For Financial Professionals written by Bharat Mishra and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-15 with Computers categories.
Machine Learning for Financial Professionals offers a comprehensive exploration of how machine learning is revolutionizing the finance industry. We delve into the increasing integration of machine learning in finance and its significance in addressing industry challenges like competition, cultural shifts, and regulatory compliance. We highlight the vast scope of the financial sector and the importance of understanding its various services for effective money management. This book introduces financial machine learning, detailing how fintech leverages machine learning models and emerging technologies such as hybrid cloud servers, blockchain, AI, robotic process automation, and data analytics. By applying machine learning, the finance industry benefits from advancements in algorithmic trading, fraud detection, and more. The demand for machine learning and AI experts in finance is growing, making it essential to grasp these technologies. Our book provides the knowledge needed to navigate and excel in this tech-driven financial landscape.
Artificial Intelligence And Machine Learning
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Author : Anonim
language : en
Publisher: KODLAB YAYIN DAĞITIM YAZILIM LTD.ŞTİ.
Release Date :
Artificial Intelligence And Machine Learning written by Anonim and has been published by KODLAB YAYIN DAĞITIM YAZILIM LTD.ŞTİ. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. These intelligent systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Artificial Intelligence And Machine Learning Powered Smart Finance
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Author : Taneja, Sanjay
language : en
Publisher: IGI Global
Release Date : 2024-02-12
Artificial Intelligence And Machine Learning Powered Smart Finance written by Taneja, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Business & Economics categories.
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology. As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices.