Introduction to Data Science - pr_287279

Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

By Laura Igual, Santi Segui

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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.

Product code: 9783319500164

ISBN 9783319500164
Dimensions (HxWxD in mm) H235xW155
Series Undergraduate Topics in Computer Science
No. Of Pages 218
Publisher Springer International Publishing AG
Edition 1st ed. 2017
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.