Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
by John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
An accessible foundation in machine learning for predictive data analytics, this book explains essential algorithms through worked examples and case studies. It is designed to help readers understand how predictive methods are developed and applied to data-driven problems.
About This Book
This book introduces the fundamentals of machine learning for predictive data analytics.
It covers core algorithms used to build predictive models and explains their role in data-driven analysis.
Worked examples support the presentation of concepts and methods.
Case studies connect the material to practical applications of predictive data analytics.
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