Linear and Nonlinear Regression in Artificial Intelligenc VOL-1: Mathematical Foundations, Regularization Techniques & Predictive Modeling
Linear and Nonlinear Regression in Artificial Intelligence VOL-1 presents a mathematical introduction to regression methods used in artificial intelligence. It covers foundational ideas, regularization techniques, and predictive modeling, offering readers a focused overview of key concepts connecting statistical modeling with AI applications.
About This Book
Linear and Nonlinear Regression in Artificial Intelligence VOL-1 explores regression methods through a mathematical lens.
The book focuses on foundational concepts relevant to both linear and nonlinear regression.
It also covers regularization techniques and their role in predictive modeling.
This volume is suited to readers seeking a structured introduction to regression-oriented topics within artificial intelligence.
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