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...

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Detalles Bibliográficos
Otros Autores: Shukla, Nishant, author (author), Blaminsky, Jarek, cover designer (cover designer)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, [England] : Packt Publishing 2014.
Edición:1st edition
Colección:Quick answers to common problems
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629379606719
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:"Quick answers to common problems"--Cover.
Includes index.
Descripción Física:1 online resource (334 p.)
ISBN:9781783286348