Human centered machine learning e collaboration (17 Ergebnisse)

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

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Hardback. Zustand: New.

Hardback. Zustand: New.

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

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: new. Paperback. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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.…

Hardcover. Zustand: new. Hardcover. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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. Zustand: new. Paperback. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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.…

Hardcover. Zustand: new. Hardcover. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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. Zustand: new. Paperback. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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. Zustand: Neu. Human-Centered AI and Machine Learning for e-Collaboration | Jingyuan Zhao (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337382180 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Hardcover. Zustand: new. Hardcover. Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, 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. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more.…

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more. …