Introduction to Machine Learning, Second Edition

The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields, including computer science, engineering, mathematics, physics, neuroscience, and cognitive science. Out of this research has come a wide variety of learning techniques that are transforming many industrial and scientific fields. Recently, several research communities have converged on a common set of issues surrounding supervised, semi-supervised, unsupervised, and reinforcement learning problems