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This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries;
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learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;
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intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security;
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Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It;
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Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;
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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning;
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machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;
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machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;
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This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world;
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ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle;
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, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications;
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promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning;
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implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the;
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implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the;
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explore the basic cryptography needed to make the blockchain work for Bitcoin. You will then learn about the technical advancements made in the;
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DescriptionIn recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics;
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This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new;
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learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;
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technical terms which involve expertise in machine learning and computer science.;
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Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare;
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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;
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The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;
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Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip;
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