Isbn: 9798260027028 - applied ai and machine learning for real-world systems (8 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Paperback. Condición: new. Paperback. Artificial intelligence (AI) and machine learning (ML) have rapidly evolved from specialized research domains into transformative technologies that are reshaping nearly every aspect of modern society. Across industries, governments, healthcare systems, educational institutions, and research organizations, AI-driven solutions are increasingly being used to solve complex problems, improve decision-making, automate processes, and drive innovation. As these technologies continue to mature, their influence extends beyond technical efficiency, raising important questions about transparency, accountability, fairness, trustworthiness, and human oversight. As AI becomes embedded in critical sectors, successful implementation requires collaboration to develop systems that are transparent, inclusive, and responsive to human needs. Applied AI and Machine Learning for Real-World Systems explores the practical application of intelligent technologies while emphasizing the human dimensions that accompany their deployment. This book brings together contemporary research, innovative methodologies, emerging frameworks, and real-world case studies that demonstrate how AI and ML can be designed and implemented to address pressing challenges across multiple sectors. Covering topics such as open mapping, digital identity, and adaptive image encryption, this book is an indispensable academic resource for graduate and doctoral students, AI developers, software engineers, data scientists, technology practitioners, digital innovation professionals, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condición: new. Paperback. Artificial intelligence (AI) and machine learning (ML) have rapidly evolved from specialized research domains into transformative technologies that are reshaping nearly every aspect of modern society. Across industries, governments, healthcare systems, educational institutions, and research organizations, AI-driven solutions are increasingly being used to solve complex problems, improve decision-making, automate processes, and drive innovation. As these technologies continue to mature, their influence extends beyond technical efficiency, raising important questions about transparency, accountability, fairness, trustworthiness, and human oversight. As AI becomes embedded in critical sectors, successful implementation requires collaboration to develop systems that are transparent, inclusive, and responsive to human needs. Applied AI and Machine Learning for Real-World Systems explores the practical application of intelligent technologies while emphasizing the human dimensions that accompany their deployment. This book brings together contemporary research, innovative methodologies, emerging frameworks, and real-world case studies that demonstrate how AI and ML can be designed and implemented to address pressing challenges across multiple sectors. Covering topics such as open mapping, digital identity, and adaptive image encryption, this book is an indispensable academic resource for graduate and doctoral students, AI developers, software engineers, data scientists, technology practitioners, digital innovation professionals, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condición: new. Paperback. Artificial intelligence (AI) and machine learning (ML) have rapidly evolved from specialized research domains into transformative technologies that are reshaping nearly every aspect of modern society. Across industries, governments, healthcare systems, educational institutions, and research organizations, AI-driven solutions are increasingly being used to solve complex problems, improve decision-making, automate processes, and drive innovation. As these technologies continue to mature, their influence extends beyond technical efficiency, raising important questions about transparency, accountability, fairness, trustworthiness, and human oversight. As AI becomes embedded in critical sectors, successful implementation requires collaboration to develop systems that are transparent, inclusive, and responsive to human needs. Applied AI and Machine Learning for Real-World Systems explores the practical application of intelligent technologies while emphasizing the human dimensions that accompany their deployment. This book brings together contemporary research, innovative methodologies, emerging frameworks, and real-world case studies that demonstrate how AI and ML can be designed and implemented to address pressing challenges across multiple sectors. Covering topics such as open mapping, digital identity, and adaptive image encryption, this book is an indispensable academic resource for graduate and doctoral students, AI developers, software engineers, data scientists, technology practitioners, digital innovation professionals, policymakers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Taschenbuch. Condición: Neu. Applied AI and Machine Learning for Real-World Systems | Jingyuan Zhao (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260027028 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) and machine learning (ML) have rapidly evolved from specialized research domains into transformative technologies that are reshaping nearly every aspect of modern society. Across industries, governments, healthcare systems, educational institutions, and research organizations, AI-driven solutions are increasingly being used to solve complex problems, improve decision-making, automate processes, and drive innovation. As these technologies continue to mature, their influence extends beyond technical efficiency, raising important questions about transparency, accountability, fairness, trustworthiness, and human oversight. As AI becomes embedded in critical sectors, successful implementation requires collaboration to develop systems that are transparent, inclusive, and responsive to human needs. Applied AI and Machine Learning for Real-World Systems explores the practical application of intelligent technologies while emphasizing the human dimensions that accompany their deployment. This book brings together contemporary research, innovative methodologies, emerging frameworks, and real-world case studies that demonstrate how AI and ML can be designed and implemented to address pressing challenges across multiple sectors. Covering topics such as open mapping, digital identity, and adaptive image encryption, this book is an indispensable academic resource for graduate and doctoral students, AI developers, software engineers, data scientists, technology practitioners, digital innovation professionals, policymakers, and more.…