Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications (Paperback, 1st ed. 2017)

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Undergraduate Topics in Computer Science
Release date:	March 2017
First published:	2017
Authors:	Laura Igual • Santi Segui
Contributors:	Jordi Vitria • Eloi Puertas • Petia Radeva • 'Oriol Pujol • Sergio Escalera • Francesc Danti • Lluis Garrido
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	218
Edition:	1st ed. 2017
ISBN-13:	978-3-319-50016-4
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-50016-3
Barcode:	9783319500164

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