IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions
by Jesus Salcedo, Keith Mccormick
Discover effective techniques for building powerful data mining and predictive analytics solutions with IBM SPSS Modeler. This essential guide by Jesus Salcedo and Keith McCormick covers key methods to prepare data, develop models, and deploy insights, empowering users to make informed decisions from complex datasets without deep coding expertise.
About This Book
IBM SPSS Modeler Essentials equips readers with the foundational skills needed to leverage this powerful tool for data mining and predictive analytics. Authors Jesus Salcedo and Keith McCormick deliver practical techniques that enable users to construct effective solutions for analyzing complex datasets.
The book focuses on core functionalities of IBM SPSS Modeler, helping professionals streamline their workflows in data preparation, modeling, and deployment. It emphasizes methods that enhance decision-making through predictive insights without requiring advanced programming knowledge.
Ideal for analysts and business users, the content covers essential processes to build and evaluate models that drive actionable outcomes. Readers gain confidence in applying these techniques to real-world scenarios for improved analytics capabilities.
With a structured approach, the essentials outlined ensure users can efficiently harness the software's potential for data-driven strategies across various industries.
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