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The book , edited by Ansgar Steland and Kwok-Leung Tsui, is a technical review of how traditional statistics interacts with modern computational fields. It focuses on bridging the gap between theoretical statistical modeling and the practical application of machine learning (ML) and artificial intelligence (AI) in high-dimensional data environments. Core Themes & Interplay
The book is noted for its focus on . Key application areas discussed include: Artificial Intelligence, Big Data and Data Scie...
The book emphasizes statistics as a core element for bias reduction, validation, and assessing uncertainty in AI results. The book , edited by Ansgar Steland and
