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Machine learning and Educational Data Analytics

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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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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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Big Data Analytics for Cyber-Physical Systems

with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile;

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Adoption of Data Analytics in Higher Education Learning and Teaching

derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative;

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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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Recent Developments in Machine Learning and Data Analytics

research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research 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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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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Effective Amazon Machine Learning

learning on the cloud Who This Book Is For This book is intended for data scientists and managers of predictive analytics projects; it will;

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Utilizing Educational Data Mining Techniques for Improved Learning

Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data;

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Utilizing Educational Data Mining Techniques for Improved Learning

Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data;

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Data Analytics Approaches in Educational Games and Gamification Systems

can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis;

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Data Analytics Approaches in Educational Games and Gamification Systems

can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis;

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Data Analytics, Bioinformatics, and Machine Learning

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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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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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Healthcare Analytics Made Simple

learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and;

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An Introduction to Business Analytics

gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data;

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining 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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Context-Aware Machine Learning and Mobile Data Analytics

the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a;

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Practical Big Data Analytics

. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a;

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Machine Learning with Microsoft Technologies

from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning;

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Machine Learning with Microsoft Technologies

learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine;

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Oracle Business Intelligence with Machine Learning

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when;

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