Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Published by LAP LAMBERT Academic Publishing Okt 2024, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Machine Learning (ML) is a branch of artificial intelligence that allows computers to learn from data without explicit programming. ML is applied in various fields, including education, pattern recognition, industries, social media, and product recommendations. In education, ML and Educational Data Mining (EDM) are becoming crucial due to the growing amount of student data. EDM helps uncover hidden information in educational datasets, aiding in student performance improvement and better decision-making for teachers and institutions. Techniques like clustering (e.g., modified K-means) and classification (e.g., decision trees) are commonly used to analyze student performance. Clustering groups students based on characteristics, while the Elbow method helps determine optimal cluster size. ML in education helps enhance student outcomes and optimize administrative decisions, making it valuable for both students and institutions. This data-driven approach is key to improving education quality in the future.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
Published by LAP LAMBERT Academic Publishing Okt 2024, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208172373 ISBN 13: 9786208172374
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning (ML) is a branch of artificial intelligence that allows computers to learn from data without explicit programming. ML is applied in various fields, including education, pattern recognition, industries, social media, and product recommendations. In education, ML and Educational Data Mining (EDM) are becoming crucial due to the growing amount of student data. EDM helps uncover hidden information in educational datasets, aiding in student performance improvement and better decision-making for teachers and institutions. Techniques like clustering (e.g., modified K-means) and classification (e.g., decision trees) are commonly used to analyze student performance. Clustering groups students based on characteristics, while the Elbow method helps determine optimal cluster size. ML in education helps enhance student outcomes and optimize administrative decisions, making it valuable for both students and institutions. This data-driven approach is key to improving education quality in the future.