J Sujith (40 results)

Condition: New.

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Taschenbuch. Condition: Neu. Academic Progression of Students Using Machine Learning Algorithms | An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms | Sujith J | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204983929 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Student Academic Progression Using Machine Learning Algorithms | An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms | Sujith J. | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204982564 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

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Taschenbuch. Condition: Neu. Progression académique des étudiants à l'aide d'algorithmes d'apprentissage automatique | Une étude sur la prédiction de la progression académique des étudiants | Sujith J | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786206279037 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Progressão académica dos estudantes utilizando algoritmos de aprendizagem automática | Uma investigação sobre a previsão da progressão académica dos estudantes | Sujith J | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786206279051 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Progressione accademica degli studenti grazie agli algoritmi di apprendimento automatico | Ricerca | Sujith J | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786206279044 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Akademischer Fortschritt von Studenten mit Hilfe von Algorithmen des maschinellen Lernens | Eine Untersuchung zur Vorhersage des akademischen Fortschritts von Studenten | Sujith J | Taschenbuch | 132 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786206279013 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. 148 pp. Englisch.

Condition: New. PRINT ON DEMAND.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the Performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance. 168 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data.

Condition: New. PRINT ON DEMAND.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La minería de datos educativos está avanzando a pasos agigantados en el campo de la investigación debido a la creciente cantidad de datos que se manejan a diario. La EDM se ocupa de extraer información significativa del entorno educativo. Para analizar y comprender los crecientes datos educativos, se emplean algoritmos de aprendizaje automático para clasificar y agrupar los conjuntos de datos. La investigación en este campo se centra en comprender el análisis del comportamiento de los estudiantes, clasificarlos para predecir los resultados académicos, agrupar a los estudiantes en función de diversos factores que pueden influir en el rendimiento y muchos más. Muchos investigadores han recomendado un sistema de recomendación para lograr el objetivo de identificar y clasificar a los estudiantes en función de su rendimiento. 124 pp. Spanisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the Performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the Performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -L'exploration des données de l'éducation progresse de façon spectaculaire dans le domaine de la recherche en raison de la quantité croissante de données au quotidien. L'EDM consiste à extraire des informations significatives du contexte éducatif. Pour analyser et comprendre les données éducatives en constante augmentation, des algorithmes d'apprentissage automatique sont utilisés pour classer et regrouper les ensembles de données. La recherche dans ce domaine se concentre sur la compréhension de l'analyse du comportement des étudiants, la classification des étudiants pour prédire les résultats scolaires, le regroupement des étudiants en fonction de divers facteurs susceptibles d'influencer les performances et bien d'autres choses encore. De nombreux chercheurs ont recommandé un système de recommandation pour atteindre l'objectif d'identification et de classification des étudiants en fonction de leurs performances. 124 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -La minería de datos educativos está avanzando a pasos agigantados en el campo de la investigación debido a la creciente cantidad de datos que se manejan a diario. La EDM se ocupa de extraer información significativa del entorno educativo. Para analizar y comprender los crecientes datos educativos, se emplean algoritmos de aprendizaje automático para clasificar y agrupar los conjuntos de datos. La investigación en este campo se centra en comprender el análisis del comportamiento de los estudiantes, clasificarlos para predecir los resultados académicos, agrupar a los estudiantes en función de diversos factores que pueden influir en el rendimiento y muchos más. Muchos investigadores han recomendado un sistema de recomendación para lograr el objetivo de identificar y clasificar a los estudiantes en función de su rendimiento.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Spanisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La minería de datos educativos está avanzando a pasos agigantados en el campo de la investigación debido a la creciente cantidad de datos que se manejan a diario. La EDM se ocupa de extraer información significativa del entorno educativo. Para analizar y comprender los crecientes datos educativos, se emplean algoritmos de aprendizaje automático para clasificar y agrupar los conjuntos de datos. La investigación en este campo se centra en comprender el análisis del comportamiento de los estudiantes, clasificarlos para predecir los resultados académicos, agrupar a los estudiantes en función de diversos factores que pueden influir en el rendimiento y muchos más. Muchos investigadores han recomendado un sistema de recomendación para lograr el objetivo de identificar y clasificar a los estudiantes en función de su rendimiento.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -L'exploration des données de l'éducation progresse de façon spectaculaire dans le domaine de la recherche en raison de la quantité croissante de données au quotidien. L'EDM consiste à extraire des informations significatives du contexte éducatif. Pour analyser et comprendre les données éducatives en constante augmentation, des algorithmes d'apprentissage automatique sont utilisés pour classer et regrouper les ensembles de données. La recherche dans ce domaine se concentre sur la compréhension de l'analyse du comportement des étudiants, la classification des étudiants pour prédire les résultats scolaires, le regroupement des étudiants en fonction de divers facteurs susceptibles d'influencer les performances et bien d'autres choses encore. De nombreux chercheurs ont recommandé un système de recommandation pour atteindre l'objectif d'identification et de classification des étudiants en fonction de leurs performances.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken Französisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - L'exploration des données de l'éducation progresse de façon spectaculaire dans le domaine de la recherche en raison de la quantité croissante de données au quotidien. L'EDM consiste à extraire des informations significatives du contexte éducatif. Pour analyser et comprendre les données éducatives en constante augmentation, des algorithmes d'apprentissage automatique sont utilisés pour classer et regrouper les ensembles de données. La recherche dans ce domaine se concentre sur la compréhension de l'analyse du comportement des étudiants, la classification des étudiants pour prédire les résultats scolaires, le regroupement des étudiants en fonction de divers facteurs susceptibles d'influencer les performances et bien d'autres choses encore. De nombreux chercheurs ont recommandé un système de recommandation pour atteindre l'objectif d'identification et de classification des étudiants en fonction de leurs performances.