Analyzing and Visualizing Data with F# / Petricek, Tomas.

Format:

Book

Author/Creator:

Petricek, Tomas, author.

Language:

English

Subjects (All):

F♯ (Computer program language).

Machine learning.

Physical Description:

1 online resource (40 pages)

Edition:

1st edition

Other Title:

Analyzing and visualizing data with F sharp

Place of Publication:

O'Reilly Media, Inc., 2015.

System Details:

text file

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.

Notes:

Online resource; Title from title page (viewed October 15, 2015)

Includes bibliographical references.

ISBN:

9781492048350

1492048356

OCLC:

1081175783