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.

: 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 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 includes SAS subroutines that can

: Reviewers from Technometrics note the book is well-written with numerous worked examples based on real-life datasets. : Reviewers from Technometrics note the book is

: 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.

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

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