Applying data science learning (30 résultats)

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paperback. Etat : New. Paperback. Pub Date: 2024-03 Pages: 628 Publisher: World Publishing Corporation This book focuses on the practical application of predictive modeling. introducing the entire process from data preprocessing to modeling. model evaluation. and selection. as well as the underlying statistical concepts. covering various regression and classification techniques. Extending from solving practical problems to model fitting. and related topics such as handling class imbalance and selecting predictorspr.…

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Einband - flex.(Paperback). Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners journeys and interactions with academic institutions. Topics covered include learning analytics dashboards..…

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Taschenbuch. Etat : Neu. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan | Goran Trajkovski (u. a.) | Taschenbuch | Englisch | 2022 | Information Science Reference | EAN 9781799896456 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines novel and emerging applications of data science and sister disciplines in gaining insights from data to inform interventions into the learners journey and interactions with an academic or training institution. Topics focus on building models of le.…

Buch. Etat : Neu. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan | Goran Trajkovski (u. a.) | Buch | Gebunden | Englisch | 2022 | Information Science Reference | EAN 9781799896449 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.…