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Data Analytics, Computational Statistics, and Operations Research for Engineers - Methodologies and Applications (Hardcover)
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Data Analytics, Computational Statistics, and Operations Research for Engineers - Methodologies and Applications (Hardcover)
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With the rapidly advancing fields of Data Analytics and
Computational Statistics, it's important to keep up with current
trends, methodologies, and applications. This book investigates the
role of data mining in computational statistics for machine
learning. It offers applications that can be used in various
domains and examines the role of transformation functions in
optimizing problem statements. Data Analytics, Computational
Statistics, and Operations Research for Engineers: Methodologies
and Applications presents applications of computationally intensive
methods, inference techniques, and survival analysis models. It
discusses how data mining extracts information and how machine
learning improves the computational model based on the new
information. Those interested in this reference work will include
students, professionals, and researchers working in the areas of
data mining, computational statistics, operations research, and
machine learning.
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