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Artificial Intelligence and Machine Learning: An Integrated Approach" delves into two of the most transformative fields of modern computing, which are reshaping industries, scientific discovery, and daily life. The rapid evolution of AI and ML presents immense opportunities for innovation, yet also introduces significant challenges related to ethical deployment, societal integration, and the sophisticated management of complex data and algorithmic systems. Understanding these intertwined domains is crucial for navigating the future technological landscape. This comprehensive volume explores the historical development of AI, foundational principles of machine intelligence, and core concepts of machine learning, including Natural Language Processing and automated reasoning systems. It examines the intricate relationship between AI and human cognition, delves into deep learning architectures, and covers advanced paradigms such as online, unsupervised, and reinforcement learning. Further topics include data clustering, anomaly detection, machine vision, computational creativity, and critical ethical considerations in AI deployment. This book is an essential resource for students, researchers, and professionals seeking a thorough understanding of integrated AI and machine learning principles and applications.
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Über die Autorin bzw. den Autor
Quinn Evans, holding a Master's degree, is a leading authority on Artificial Intelligence. Their expertise spans AI's historical development, societal impact, machine learning, NLP, deep learning, and automated reasoning, exploring its relationship with human cognition.
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Hardcover. Zustand: new. Hardcover. Artificial Intelligence and Machine Learning: An Integrated Approach" delves into two of the most transformative fields of modern computing, which are reshaping industries, scientific discovery, and daily life. The rapid evolution of AI and ML presents immense opportunities for innovation, yet also introduces significant challenges related to ethical deployment, societal integration, and the sophisticated management of complex data and algorithmic systems. Understanding these intertwined domains is crucial for navigating the future technological landscape. This comprehensive volume explores the historical development of AI, foundational principles of machine intelligence, and core concepts of machine learning, including Natural Language Processing and automated reasoning systems. It examines the intricate relationship between AI and human cognition, delves into deep learning architectures, and covers advanced paradigms such as online, unsupervised, and reinforcement learning. Further topics include data clustering, anomaly detection, machine vision, computational creativity, and critical ethical considerations in AI deployment. This book is an essential resource for students, researchers, and professionals seeking a thorough understanding of integrated AI and machine learning principles and applications. "Artificial Intelligence and Machine Learning: An Integrated Approach" explores the foundational concepts, historical evolution, and societal impact of these transformative fields. It delves into core principles, automated reasoning, and their relationship with human cognition. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798902113034
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Hardcover. Zustand: new. Hardcover. Artificial Intelligence and Machine Learning: An Integrated Approach" delves into two of the most transformative fields of modern computing, which are reshaping industries, scientific discovery, and daily life. The rapid evolution of AI and ML presents immense opportunities for innovation, yet also introduces significant challenges related to ethical deployment, societal integration, and the sophisticated management of complex data and algorithmic systems. Understanding these intertwined domains is crucial for navigating the future technological landscape. This comprehensive volume explores the historical development of AI, foundational principles of machine intelligence, and core concepts of machine learning, including Natural Language Processing and automated reasoning systems. It examines the intricate relationship between AI and human cognition, delves into deep learning architectures, and covers advanced paradigms such as online, unsupervised, and reinforcement learning. Further topics include data clustering, anomaly detection, machine vision, computational creativity, and critical ethical considerations in AI deployment. This book is an essential resource for students, researchers, and professionals seeking a thorough understanding of integrated AI and machine learning principles and applications. "Artificial Intelligence and Machine Learning: An Integrated Approach" explores the foundational concepts, historical evolution, and societal impact of these transformative fields. It delves into core principles, automated reasoning, and their relationship with human cognition. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798902113034
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Buch. Zustand: Neu. Artificial Intelligence and Machine Learning | An Integrated Approach | Quinn Evans | Buch | Englisch | 2026 | Oryson Press | EAN 9798902113034 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136404852
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Hardcover. Zustand: new. Hardcover. Artificial Intelligence and Machine Learning: An Integrated Approach" delves into two of the most transformative fields of modern computing, which are reshaping industries, scientific discovery, and daily life. The rapid evolution of AI and ML presents immense opportunities for innovation, yet also introduces significant challenges related to ethical deployment, societal integration, and the sophisticated management of complex data and algorithmic systems. Understanding these intertwined domains is crucial for navigating the future technological landscape. This comprehensive volume explores the historical development of AI, foundational principles of machine intelligence, and core concepts of machine learning, including Natural Language Processing and automated reasoning systems. It examines the intricate relationship between AI and human cognition, delves into deep learning architectures, and covers advanced paradigms such as online, unsupervised, and reinforcement learning. Further topics include data clustering, anomaly detection, machine vision, computational creativity, and critical ethical considerations in AI deployment. This book is an essential resource for students, researchers, and professionals seeking a thorough understanding of integrated AI and machine learning principles and applications. "Artificial Intelligence and Machine Learning: An Integrated Approach" explores the foundational concepts, historical evolution, and societal impact of these transformative fields. It delves into core principles, automated reasoning, and their relationship with human cognition. 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. Bestandsnummer des Verkäufers 9798902113034
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence and Machine Learning: An Integrated Approach' delves into two of the most transformative fields of modern computing, which are reshaping industries, scientific discovery, and daily life. The rapid evolution of AI and ML presents immense opportunities for innovation, yet also introduces significant challenges related to ethical deployment, societal integration, and the sophisticated management of complex data and algorithmic systems. Understanding these intertwined domains is crucial for navigating the future technological landscape.This comprehensive volume explores the historical development of AI, foundational principles of machine intelligence, and core concepts of machine learning, including Natural Language Processing and automated reasoning systems. It examines the intricate relationship between AI and human cognition, delves into deep learning architectures, and covers advanced paradigms such as online, unsupervised, and reinforcement learning. Further topics include data clustering, anomaly detection, machine vision, computational creativity, and critical ethical considerations in AI deployment.This book is an essential resource for students, researchers, and professionals seeking a thorough understanding of integrated AI and machine learning principles and applications. Bestandsnummer des Verkäufers 9798902113034
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