Introduction To Data Science: A Python Approach To Concepts, Techniques And Applications (undergraduate Topics In Computer Science)
by Laura Igual /
2017 / English / PDF
11.1 MB Download
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 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.