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Analyzing and visualizing data with F♯ /
In this report, F♯ contributor Tomas Petricek explains many of the key features of the F♯ language that make it a great tool for data science and machine learning. Real world examples take you through the entire data science workflow with F♯, from data access and analysis to presenting the results....
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
[2015]
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | In this report, F♯ contributor Tomas Petricek explains many of the key features of the F♯ language that make it a great tool for data science and machine learning. Real world examples take you through the entire data science workflow with F♯, from data access and analysis to presenting the results. You'll learn about: How F♯ and its unique features-such as type providers-ease the chore of data access The process of data analysis and visualization, using the Deedle library, R type provider and the XPlot charting library Implementations for a clustering algorithm using the standard F♯ library and how the F♯ type inference helps you understand your code The report also includes a list of resources to help you learn more about using F♯ for data science. |
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| Descripción Física: | 1 online resource (1 volume) : illustrations |
| Bibliografía: | Includes bibliographical references. |