Statistical And Machine-learning Data Mining, T... -

: Every chapter from the previous edition was rewritten to incorporate recent methodologies in statistical modeling and big data analytics.

The book focuses heavily on techniques that start where traditional statistical data mining stops, such as the patented . Notable topics include: 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. : Every chapter from the previous edition was

: It features a user-friendly version of text mining that does not require an advanced background in natural language processing (NLP). Critical Perspectives and Expert Reviews : It features a user-friendly version of text

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

: New content covers emerging and niche topics, including the rise of data science, market share estimation , and share of wallet modeling without survey data.