Statistical Modeling in Machine Learning: Concepts and Applications
presents the basic concepts and roles of statistics, exploratory
data analysis and machine learning. The various aspects of Machine
Learning are discussed along with basics of statistics. Concepts
are presented with simple examples and graphical representation for
better understanding of techniques. This book takes a holistic
approach - putting key concepts together with an in-depth treatise
on multi-disciplinary applications of machine learning. New case
studies and research problem statements are discussed, which will
help researchers in their application areas based on the concepts
of statistics and machine learning. Statistical Modeling in Machine
Learning: Concepts and Applications will help statisticians,
machine learning practitioners and programmers solving various
tasks such as classification, regression, clustering, forecasting,
recommending and more.
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