Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
by John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
This second edition provides a structured introduction to machine learning for predictive data analytics. Covering foundational algorithms, worked examples, and case studies, it connects core concepts with practical analysis and offers readers a clear foundation for understanding predictive methods and their application to data.
About This Book
Fundamentals of Machine Learning for Predictive Data Analytics, second edition introduces the concepts and methods used in machine learning for predictive data analytics.
Written by John D. Kelleher, Brian Mac Namee, and Aoife D'Arcy, the book focuses on algorithms and their role in predictive modeling.
Worked examples support the presentation of core ideas, helping readers connect theory with practical analysis.
Case studies provide additional context for understanding how machine learning techniques can be used with data.
This edition is suited to readers seeking a structured foundation in predictive data analytics and machine learning.
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