Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.

Colaborador(es): Dietrich, David | Heller, Barry [Contribuidor] | Yang, Beibei [Contribuidora] | EMC Education ServicesTipo de material: TextoTextoEditor: Indianapolis, IN : Wiley, [2015]Descripción: xviii, 410 páginas Ilustraciones (algunas en color) 25 cmTipo de contenido: texto Tipo de medio: no mediado Tipo de portador: volumenISBN: 9781118876138; 111887613XOtro título: Data science and big data analyticsTema(s): MINERIA DE DATOS | BIG DATA | INVESTIGACION CUANTITATIVAClasificación CDD: 006.312 Recursos en línea: VERSIÓN DIGITAL
Contenidos:
1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.
Resumen: This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.-- From publisher's description.
Lista(s) en las que aparece este ítem: COLECCION BIBLIOTECA DIGITAL | COLECCION BASICA DE APOYO DOCENTE
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Existencias
Tipo de ítem Biblioteca actual Colección número de clasificación Copia número Estado Notas Fecha de vencimiento Código de barras
Bibliografía General Complementaria Bibliografía General Complementaria Biblioteca Central
Colección General 006.312 D232 (Navegar estantería(Abre debajo)) 1 Prestado RETENER (Para modificación interna) Asignatura: Máquina de aprendizaje 31/12/2025 3560900266896
Bibliografia reserva complementaria Bibliografia reserva complementaria Biblioteca Central
Colección Básica de Apoyo Docente 006.312 D232 (Navegar estantería(Abre debajo)) 2 Disponible Asignatura: Máquina de aprendizaje 3560900266895

1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.

This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.-- From publisher's description.

COBERTURA BIBLIOGRAFICA:
IPD440
Asignatura: Máquina de aprendizaje