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Sinopsis
The book unravels fundamental concepts that underpin deep learning, allowing even those without prior technical knowledge to grasp the intricacies of neural networks and machine learning algorithms. It provides roadmap to understanding the key principles, from the simplest perceptron to the most advanced convolutional and recurrent networks, explaining how they can perceive, learn, and make intelligent decisions. Real-world applications of deep learning and AI are given, showcasing how these technologies have transformed industries such as healthcare, finance, and self-driving cars. Case studies and expert insights provide valuable perspectives on the enormous potential and ethical challenges in the field. The book bridges the gap between theoretical concepts and practical implementation. It empowers readers to embark on their own AI journeys, with step-by-step guidance on building and training neural networks, working with popular frameworks, and handling big data. As the AI and deep learning landscape evolves rapidly, this book keeps pace. It delves into emerging trends such as generative adversarial networks (GANs), reinforcement learning, and the ethical considerations surrounding AI development. An essential reading for AI enthusiasts, students, and professionals alike. It provides the knowledge and tools to harness the potential of intelligent machines and contribute to the ongoing AI revolution.
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Acerca del autor
Laith Abualigah is the Director of the Department of International Relations and Affairs and an Associate Professor at the Computer Science Department at Al Al-Bayt University, Jordan. He received a PhD from the School of Computer Science at Universiti Sains Malaysia, Malaysia, in 2018. According to the report published by Clarivate, he is one of the Highly Cited Researchers for 2021-2024 and the 1% Influential Researcher by the Web of Science. He is also 2% top scientists in the world (Stanford University). He has published more than 650 journal papers and books, which collectively have been cited more than 27000 times (H-index = 73). His main research interests are Artificial Intelligence, Meta-heuristic Modeling, and Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big data, and Natural Language Processing. He currently serves as an associate editor of many prestigious journals.
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Mastering the Minds of Machines (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032834838
ISBN 13: 9781032834832
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Hardcover. Condición: new. Hardcover. The book unravels fundamental concepts that underpin deep learning, allowing even those without prior technical knowledge to grasp the intricacies of neural networks and machine learning algorithms. It provides roadmap to understanding the key principles, from the simplest perceptron to the most advanced convolutional and recurrent networks, explaining how they can perceive, learn, and make intelligent decisions. Real-world applications of deep learning and AI are given, showcasing how these technologies have transformed industries such as healthcare, finance, and self-driving cars. Case studies and expert insights provide valuable perspectives on the enormous potential and ethical challenges in the field. The book bridges the gap between theoretical concepts and practical implementation. It empowers readers to embark on their own AI journeys, with step-by-step guidance on building and training neural networks, working with popular frameworks, and handling big data. As the AI and deep learning landscape evolves rapidly, this book keeps pace. It delves into emerging trends such as generative adversarial networks (GANs), reinforcement learning, and the ethical considerations surrounding AI development. An essential reading for AI enthusiasts, students, and professionals alike. It provides the knowledge and tools to harness the potential of intelligent machines and contribute to the ongoing AI revolution. This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical guidance, covering neural networks, real-world applications, and ethical considerations. With insights on GANs and reinforcement learning, it empowers to build intelligent systems and drive innovation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032834832
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Mastering the Minds of Machines (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032834838
ISBN 13: 9781032834832
Nuevo
Tapa dura
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. The book unravels fundamental concepts that underpin deep learning, allowing even those without prior technical knowledge to grasp the intricacies of neural networks and machine learning algorithms. It provides roadmap to understanding the key principles, from the simplest perceptron to the most advanced convolutional and recurrent networks, explaining how they can perceive, learn, and make intelligent decisions. Real-world applications of deep learning and AI are given, showcasing how these technologies have transformed industries such as healthcare, finance, and self-driving cars. Case studies and expert insights provide valuable perspectives on the enormous potential and ethical challenges in the field. The book bridges the gap between theoretical concepts and practical implementation. It empowers readers to embark on their own AI journeys, with step-by-step guidance on building and training neural networks, working with popular frameworks, and handling big data. As the AI and deep learning landscape evolves rapidly, this book keeps pace. It delves into emerging trends such as generative adversarial networks (GANs), reinforcement learning, and the ethical considerations surrounding AI development. An essential reading for AI enthusiasts, students, and professionals alike. It provides the knowledge and tools to harness the potential of intelligent machines and contribute to the ongoing AI revolution. This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical guidance, covering neural networks, real-world applications, and ethical considerations. With insights on GANs and reinforcement learning, it empowers to build intelligent systems and drive innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781032834832
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Mastering the Minds of Machines
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