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. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained;
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contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning;
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contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning;
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. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications;
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growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating;
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methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;
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methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;
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programming, and Python. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI). The book;
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Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast;
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>Includes applications and case studies across all areas of AI in healthcare data;
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This book constitutes the refereed proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, AI 2017, held;
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of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data;
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Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;
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Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;
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processing rely on computer science's use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI;
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This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven;
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applications in data science.;
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With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on;
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and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science;
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Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms;
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Transportation typically entails crucial life-death choices, delegating crucial decisions to an AI algorithm without any explanation;
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, detailed case studies on data and algorithms for AI. Presents the performance and attributes of the Huawei Ascend AI processor
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This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall;
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modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the;
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making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge;
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understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal;
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