Ethem Alpaydın's fourth-edition textbook introduces machine learning theory and methods, including deep learning and neural networks.
Introduction to Machine Learning explains how computers can learn from data and experience to solve problems. This fourth edition brings together supervised learning, Bayesian methods, graphical models and reinforcement learning with developments in deep learning.
The book also addresses neural-network training and structure, dimensionality reduction and statistical testing. Exercises support the main chapters, while background appendixes cover linear algebra and optimisation. It is written for advanced undergraduate and graduate study and as a technical reference.