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Analyzing and Visualizing Data with F#

Posted By: hill0
Date: 4 Nov 2018 07:47:45
Analyzing and Visualizing Data with F#

Analyzing and Visualizing Data with F#
by Tomas Petricek
English | 2016 | ISBN: 9781491939529 | 42 Pages | PDF | 3.10 MB

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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