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Predictive analytics : Data mining, machine learning and data science for practitioners / Dursun Delen

Por: Delen, Dursun, autor.
Tipo de material: materialTypeLabelE-bookEditor: Hoboken : Pearson Education, Inc., 2020Edición: 2nd ed 2020.Descripción: 1 recurso en línea.ISBN: 9780136738510.Tema: Bases de datosRecursos en línea: Acceso a este recurso digital (usuarios Universidad Europea de Valencia)Digital Resources Resumen: "Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors"--
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Tipo de ítem Biblioteca actual Signatura topográfica Estado Fecha de vencimiento Código de barras Reserva de ítems
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Valencia Digital Acceso Electrónico (UEV) QA76.9 2020 EB (Navegar estantería(Abre debajo)) Acceso electrónico
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"Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors"--

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