The Data Science Design Manual

The Data Science Design Manual by Steven S. Skiena.

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and...

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Bibliographic Details
Main Author: Skiena, Steven S. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Texts in Computer Science,
Springer eBook Collection.
Subjects:
Data mining.
Pattern recognition.
Big data.
Mathematics.
Visualization.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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