Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by H N H International Limited, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
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Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by Auerbach Publications 2024-07-15, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
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Published by H N H International Limited, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by H N H International Limited, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
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Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by Auerbach Publications, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Add to basketPaperback. Condition: new. Paperback. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketCondition: New. Alex Khang is a Professor of Information Technology, D.Sc. D.Litt., and a AI and Data scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, North Carolina, United States.R.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032600624 ISBN 13: 9781032600628
Language: English
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Add to basketPaperback. Condition: new. Paperback. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Add to basketCondition: New. Dr. Alex Khang, is a professor in information technology at the Universities of Science and Technology in Vietnam, India, and United States AI and data scientist, software industry expert, and the chief of technology officer (AI and Dat.
Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Hardcover. Condition: new. Hardcover. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Published by Taylor & Francis Ltd (Sales) Okt 2023, 2023
ISBN 10: 1032408243 ISBN 13: 9781032408248
Language: English
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Add to basketBuch. Condition: Neu. Neuware - This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketHardcover. Condition: new. Hardcover. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Auerbach Publications, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032601914 ISBN 13: 9781032601915
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:Data-driven modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.