Helps readers to transition from traditional statistics to modern
data science Reviews the pros and cons of open source and
commercial software packages, and their proper applications in
specific situations. Explores data using dynamic methods rather
than counting on dichotomous thinking. Considers alternate models
using ensemble models and model comparison rather than fixing a
preconceived hypothesis/model on a single method. Shows how to find
the hidden pattern in the data by dynamic visualization rather than
over-relying on numeric results.
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