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Learning Analytics: Fundaments, Applications, and Trends

This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

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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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;

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A Beginner s Guide to Learning Analytics

have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with;

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A Beginner s Guide to Learning Analytics

have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with;

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Trends of Data Science and Applications

practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

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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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a;

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Data Analytics and AI

exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry;

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Data Analytics and AI

exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;

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Deep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;

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AI and Machine Learning Paradigms for Health Monitoring System

toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;

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Learning Analytics Explained

Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications;

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Learning Analytics Explained

Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications;

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Military Applications of Data Analytics

, decision making, analysis of alternatives, and myriad other analytical processes. Data analytics is seen as having a role in military learning, and;

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Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;

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