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Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes /

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shukla, Nishant, 1992- (Autor)
Otros Autores: Blaminsky, Jarek (Diseñador de portada)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham [England] : Packt Publishing, 2014.
Colección:Quick answers to common problems.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Notas:Includes index.
Descripción Física:1 online resource (334 pages) : illustrations (some color).
ISBN:9781783286348
1783286342
1783286334
9781783286331
1306902827
9781306902823