R for AI-Driven Analytics: From Traditional Statistics to Machine Learning and Beyond

R for AI-Driven Analytics is a comprehensive, practice-driven guide for data scientists, statisticians, analysts, and quantitative professionals ready to evolve from classical methods to modern machine learning and AI—without abandoning the principles that make models trustworthy. This book begins where many AI journeys should: with inference, probability, and regression. From there, it builds a seamless bridge to regularization, classification, tree-based ensembles, unsupervised learning, and deep neural networks—all implemented in R. Along the way, you’ll move from p-values to predictive validation, from point estimates to posterior distributions, and from correlation to causal reasoning.