The book focuses heavily on techniques that start where traditional statistical data mining stops, such as the patented . Notable topics include:
Bruce Ratner's is a comprehensive guide that bridges traditional statistics and modern machine learning for predictive analytics. This edition is significantly expanded, growing from 31 to 44 chapters and totaling approximately 690 pages . Key Features of the Third Edition Statistical and Machine-Learning Data Mining, T...
: Reviewers from Technometrics note the book is well-written with numerous worked examples based on real-life datasets. The book focuses heavily on techniques that start
: The book includes SAS subroutines that can be converted to other programming languages, making it highly applicable for practitioners. Key Features of the Third Edition : Reviewers
Professional reviewers and academics emphasize the book's blend of theory and "common sense".
: Every chapter from the previous edition was rewritten to incorporate recent methodologies in statistical modeling and big data analytics.