An Introduction to Statistical Data Science Giorgio Picci Springer Textbook An Introduction to Statistical Data Science: Theory and Models by Giorgio Picci is a comprehensive graduate-level textbook published by Springer. This resource provides a deep dive into the statistical approach to data science, covering essential scientific principles and techniques for extracting mathematical models from observed data. It explores key topics including linear models, numerical analysis, regularization techniques like LASSO, Bayesian interpretation, and nonlinear inference. Ideal for graduate students in applied mathematics and engineering, the text bridges the gap between theory and practical application with examples motivated by engineering challenges. The cover shows some minor cosmetic wear and light smudging, but the internal pages remain clean and legible. ISBN-13: 9783031666186 #Minimalist