Introduction to data science :: a Python approach to concepts, techniques and applications /: Laura Igual, Santi Seguí ; with contributions from Jordi Vitrià... [et al.].

Igual, Laura.; Seguí, Santi.

doi:10.1007/978-3-319-50017-1

Introduction to data science : a Python approach to concepts, techniques and applications / Laura Igual, Santi Seguí ; with contributions from Jordi Vitrià... [et al.].

Igual, Laura.; Seguí, Santi.

2017

Q180.55.Q36

Available Online

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Title

Introduction to data science : a Python approach to concepts, techniques and applications / Laura Igual, Santi Seguí ; with contributions from Jordi Vitrià... [et al.].

Author

Igual, Laura.

ISBN

9783319500171 (electronic book)
3319500171 (electronic book)
9783319500164
3319500163

DOI

https://doi.org/10.1007/978-3-319-50017-1

Publication Details

Cham, Switzerland : Springer, 2017.

Language

English

Description

1 online resource.

Item Number

10.1007/978-3-319-50017-1 doi

Call Number

Q180.55.Q36

Dewey Decimal Classification

001.4/2

Summary

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< This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Assistant Professor at the same institution.

Bibliography, etc. Note

Includes bibliographical references and index.

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Access limited to authorized users.

Digital File Characteristics

text file PDF

Added Author

Seguí, Santi.

Series

Undergraduate topics in computer science.

Available in Other Form

Print version: 9783319500164