9786206686101 - data science using r: a comprehensive guide di namani, siva sankar; komati, thirupathi rao; vuyyuru, krishna reddy (8 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Data Science using R | A Comprehensive Guide | Siva Sankar Namani (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206686101 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preig…u.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libra…ries and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions. 124 pp. Englisch.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its…extensive libraries and tools specificall.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries… and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries…and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions.
