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Haskell Data Analysis cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Haskell Data Analysis cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Nishant Shukla

E-BOOK
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Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code.
This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
  • 1. Obtaining Data
  • 2. Cleaning Data
  • 3. String Manipulations
  • 4. Hashing Data
  • 5. Tree Data Structure
  • 6. Graph Data Structure
  • 7. Statistical Methods
  • 8. Clustering
  • 9. Parallel Design
  • 10. Real Time Data Analysis
  • 11. Visualizing Data
  • 12. Evoking External Programs
  • Titel:Haskell Data Analysis cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
  • Autor:Nishant Shukla
  • Originaler Titel:Haskell Data Analysis cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
  • ISBN:9781783286348, 9781783286348
  • Veröffentlichungsdatum:2014-06-25
  • Format:E-Book
  • Artikel-ID: e_3avj
  • Verleger: Packt Publishing