EAN: 9783319500164

UNDERGRADUATE TOPICS IN COMPUTER SCIENCE INTR...

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.

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