ISBN: 9786205165591 - machine learning in education: unraveling the motivators for academic dropout (4 risultati)

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  • Lingua: Inglese

    Editore: Our Knowledge Publishing, 2022

    6205165597 / 9786205165591

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    Da: moluna, Greven, Germaniamoluna

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  • Lingua: Inglese

    Editore: Our Knowledge Publishing, 2022

    6205165597 / 9786205165591

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Machine Learning in Education | Unraveling the motivators for academic dropout | Bruno Torres Marques (u. a.) | Taschenbuch | Englisch | 2022 | Our Knowledge Publishing | EAN 9786205165591 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: Our Knowledge Publishing

    6205165597 / 9786205165591

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 49,63

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The high dropout rates in undergraduate courses have become increasingly worrying in Brazil, this problem has generated losses both for the country, as for students and universities. In this context, the aim was to identify students with a tendency to dropout through a case study, conducted at the Federal University of Ceará, through data mining techniques and using historical data of students, in which experiments were conducted with two different scenarios, the first scenario having the total number of records with the division of records by unbalanced classes and the second scenario containing a sample of records with the division between balanced classes.…

  • Lingua: Inglese

    Editore: Our Knowledge Publishing Sep 2022, 2022

    6205165597 / 9786205165591

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    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 43,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The high dropout rates in undergraduate courses have become increasingly worrying in Brazil, this problem has generated losses both for the country, as for students and universities. In this context, the aim was to identify students with a tendency to dropout through a case study, conducted at the Federal University of Ceará, through data mining techniques and using historical data of students, in which experiments were conducted with two different scenarios, the first scenario having the total number of records with the division of records by unbalanced classes and the second scenario containing a sample of records with the division between balanced classes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…