Gets the reader up to date with an introduction to the concept of
data science, its reasons and origin Focused on the mechanisms of
extracting data along with classifications, architectural concepts,
and business intelligence with predictive analysis Provides an
overview of recent developments and applications on data linked to
engineering and management perspectives Covers how data scientists,
analysts, and program managers that are interested in productivity
and improving their business can do so by incorporating a data
science workflow effectively Presents recent trends, highlights
future developments, along with discussing problems and offering
suggested solutions
General
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