: Experts from Harvard and Arizona State University highlight its "nitty-gritty, step-by-step" approach, describing it as a "valuable resource" for both novice and experienced data scientists.
: Every chapter from the previous edition was rewritten to incorporate recent methodologies in statistical modeling and big data analytics. Statistical and Machine-Learning Data Mining, T...
: The book includes SAS subroutines that can be converted to other programming languages, making it highly applicable for practitioners. : Experts from Harvard and Arizona State University
: New content covers emerging and niche topics, including the rise of data science, market share estimation , and share of wallet modeling without survey data. : New content covers emerging and niche topics,
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