Includes bibliographical references (pages 239-247) and index.
Contents
Why we are interested in machine learning -- Machine learning, statistics, and data analytics -- Pattern Recognition -- Neural networks and deep learning -- Learning clusters and recommendations -- Learning to take action -- Challenges and risks -- Where do we go from here?
Summary
"An updated introduction for generalists to this powerful technology, its applications and possible future directions"-- Provided by publisher.