World Scientific, 2019. — 322 p. — ISBN: 9811205663.
Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview of how artificial intelligence can be used to define, disprove or validate economic modeling and decision-making concepts.