Djebbar, Amel Mounia (18 results)

Condition: New.

Condition: New.

Hardback. Condition: New.

Hardback. Condition: New.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. …

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. …

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. Condition: new. Hardcover. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. Condition: new. Paperback. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, and more.…

Taschenbuch. Condition: Neu. Machine Learning and Deep Learning Strategies for AI | Amel Mounia Djebbar (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337370835 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Hardcover. Condition: new. Hardcover. Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, 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. …

Buch. Condition: Neu. Machine Learning and Deep Learning Strategies for AI | Amel Mounia Djebbar (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337370828 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as healthcare, finance, education, transportation, and manufacturing. As these technologies continue to evolve, they are not only enhancing efficiency and decision-making but also redefining how organizations and societies approach complex problems. Machine Learning and Deep Learning Strategies for AI provides readers with a comprehensive yet practical exploration of machine learning and deep learning. This book integrates theoretical concepts with concrete applications, guiding readers from foundational knowledge to advanced strategies. By showcasing real-world applications across diverse fields such as healthcare, finance, transportation, and manufacturing, this book demonstrates how machine learning and deep learning can drive innovation and generate measurable growth. Covering topics such as intelligent container storage optimization in maritime ports, AI-driven personalized medical recommendation, and AI-powered branding strategies, this book is an excellent academic resource for graduate and doctoral students, industry professionals, data analysts, engineers, technology leaders, and more.…