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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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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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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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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 and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning 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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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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This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries;
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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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learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;
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This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new;
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Intermediate user level;...
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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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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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applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization;
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Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;
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This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It;
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;
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Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine;
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of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the;
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MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they;
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