Explore the world of statistical learning with “Statistical Learning from a Regression Perspective,” a comprehensive textbook ideal for advanced undergraduates and graduate students. This 3rd edition, by The Bookish Owl, seamlessly integrates modern data analytics, emphasizing sound data collection, management, and interpretation. Discover how supervised learning functions as a form of regression analysis, illustrated with practical R code examples. The book delves into recent advancements, including conceptual frameworks, the impact of big data, post-model selection inference, deep learning, and the ethical implications of algorithmic methods. With expanded coverage on accuracy, transparency, fairness, and deep learning precursors, this edition is essential for researchers and students in social, psychological, and life sciences seeking to apply statistical learning to real-world problems.