Laura Igual, Santi Segui ... 218 pages - Publisher: Springer; (March, 2017) ... Language: English - ISBN-10: 3319500163 - ISBN-13: 978-331950016.
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.