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....

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Bibliographic Details
Main Author: Petricek, Tomas
Format: eBook
Language:English
Published: Sebastopol, CA O'Reilly Media 2015
Edition:First edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:1 volume illustrations