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Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;
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; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer;
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The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It;
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cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine;
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This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory;
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machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas;
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This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;
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This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;
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DescriptionIBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book;
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developments involved in applying machine learning to marketing. After a short introduction, the following section provides an overview of machine;
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Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;
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seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences;
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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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Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview;
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Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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practitioners require, and includes: * A complete overview of big data and its notable characteristics * Details on high performance computing;
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within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case;
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apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar;
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This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;
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A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation;
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, neurologists and health care practitioners. Provides a non-technical introduction to machine learning and applications to brain disorders;
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methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features;
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classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students;
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