Editor for Neuroscience and Computer Science Hallie Stebbins has acquired
Patterns, Predictions, and Actions a graduate-level introductory machine learning textbook by Moritz Hardt and Benjamin Recht.
Patterns, Predictions, and Actions offers students a broad perspective, deeply informed by theory, on the field of machine learning. The authors argue that the pattern classification research of the 1960s remains relevant for recent advances in machine learning. The book’s early chapters extend the fundamentals of pattern classification with recent developments in optimization and generalization. Later chapters depart from the traditional way in which machine learning is usually taught, covering datasets, causality, and sequential and dynamic models. Throughout the text, the authors highlight the significant potential harms, limitations, and social consequences of machine learning, which the authors assert need to be addressed in the context of modern machine learning instruction.