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Handbook of Research on Machine Learning Innovations and Trends

Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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Advances in Machine Learning and Signal Processing

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range;

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Proceedings of International Conference on Recent Trends in Machine Learning Io

trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area;

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Handbook of Research on Immersive Digital Games in Educational Environments

research trends and innovations in this field. The Handbook of Research on Immersive Digital Games in Educational Environments provides emerging;

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Cybernetics Cognition and Machine Learning Applications

This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and;

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Handbook of Research on Food Science and Technology: Volume 2

information on modernization and improvements in the food industry. In volume 2 of the 3-volume set, the chapters examine bioactive compounds;

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Handbook of Computational Social Science - Vol 1 & Vol 2

trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social;

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Machine Learning Applications

in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find;

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Handbook of Graphene, Volume 2

The second volume in a series of handbooks on graphene research and applications Graphene is a valuable nanomaterial used in technology;

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Cybernetics Cognition and Machine Learning Applications

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning;

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Handbook of Neural Computation

networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by;

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Thinking Machines

computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning;

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Handbook of Research on Food Science and Technology

information on modernization and improvements in the food industry. In volume 2 of the 3-volume set, the chapters examine bioactive compounds;

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The Handbook on Innovations in Learning

learning outcomes. The Handbook on Innovations in Learning, developed by the Center on Innovations in Learning, presents commissioned chapters;

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The Handbook on Innovations in Learning

learning outcomes. The Handbook on Innovations in Learning, developed by the Center on Innovations in Learning, presents commissioned chapters;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Notices of the International Congress of Chinese Mathematicians, Vol. 7, No. 2 (December 2019)

presentation of various perspectives, relevant to Chinese mathematics development and education. Readers of the Notices will find research papers on;

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based;

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Computational Learning Theory & Natural Learning Systems V 2 - Intersections Between Theory & Experiment

This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the;

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Applied Intelligent Decision Making in Machine Learning

of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the;

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ICT Innovations 2020. Machine Learning and Applications

focal point of the volume is machine learning and applications in spheres of business, science and technology.;

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