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major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to;
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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;
Vergelijkbare producten zoals Machine Learning and Big Data Analytics Paradigms
, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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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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Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning;
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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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- Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics;
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Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers;
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data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;
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of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;
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the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type;
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analytics, disease network analysis, and techniques for big data Analytics and health information technology.;
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describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
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Studies in Machine Learning, Advances in Query Processing and Optimization, Big Data Analytics and Distributed Systems, Deep Learning and;
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developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking;
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, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.;
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the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book;
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while the last part presents deep learning and big data analytics which help fight the COVID-19.;
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learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;
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of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as;
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This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book;
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of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines;
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Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book * Acquire real-world;
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while the last part presents deep learning and big data analytics which help fight the COVID-19.;
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deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be;
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Features Master the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways;
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