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Introducing data science: Big data, machine learning, and more, using Phyton tools / Davy Cielen, Arno D. B. Meysman, Mohamed Ali.
Tipo de material:
TextoSeries Data science / programmingDetalles de publicación: New York : Manning Publications Co., 2016.Descripción: 300 páginas : ilustracionesISBN: - 9781633430037
- 23 005.75 C569i
Contenidos parciales:
Resumen: Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.
1. Data science in a big data world.-- 2. The data science process.-- 3. Machine learning.-- 4. Handling large data on a single computer.-- 5. First steps in big data.-- 6. Join the NoSQL movement.-- 7. The rise of grahp data bases.-- 8. Text mining and text analytics.-- 9. Data visualization to the end user.
| Tipo de ítem | Biblioteca actual | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
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Libros
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Biblioteca Central CIENCIAS PURAS | 005.75 C569i (Navegar estantería(Abre debajo)) | Ej.1 | Disponible | B0574 |
Contiene: índice
1. Data science in a big data world.-- 2. The data science process.-- 3. Machine learning.-- 4. Handling large data on a single computer.-- 5. First steps in big data.-- 6. Join the NoSQL movement.-- 7. The rise of grahp data bases.-- 8. Text mining and text analytics.-- 9. Data visualization to the end user.
Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.
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