Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
Tipo de ítem | Biblioteca actual | Colección | número de clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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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 |
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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