Data science and big data analytics discovering, analyzing, visualizing and presenting data
This is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learn...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Indianpolis, IN
John Wiley & Sons
2015
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 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