AI-Centric Modeling and Analytics 1st Edition

Grasp the future of intelligent decision-making with AI-Centric Modeling and Analytics, 1st Edition by Alex Khang. This authoritative guide translates cutting-edge AI theory into practical modeling strategies for data scientists, analytics leaders, and business managers seeking measurable results.

Inside, you’ll find a clear roadmap for designing, validating, and deploying AI-driven models that solve real-world problems. Khang combines rigorous methodology with hands-on examples—covering predictive analytics, feature engineering, model interpretability, scalable pipelines, and governance best practices—so teams across finance, healthcare, retail, and public sector can implement reliable solutions quickly.

Designed for both practitioners and decision-makers, the book balances technical depth with strategic insight. Learn how to align models with business objectives, mitigate bias, ensure regulatory compliance, and integrate explainable AI into production environments. Practical case studies and proven frameworks illustrate how to move from exploratory analysis to robust, repeatable outcomes.

Whether you’re upgrading an enterprise analytics program or building a startup’s data backbone, this first edition equips you to accelerate time-to-value while maintaining transparency and performance. Its global perspective makes it especially useful for regional and multinational teams operating across North America, Europe, and Asia-Pacific.

Elevate your analytics strategy with a resource that bridges research and real-world application. Add AI-Centric Modeling and Analytics by Alex Khang to your professional library and start turning complex data into actionable, trustworthy intelligence today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.