Handbook of Machine Learning - Volume 2: Optimization and Decision Making

by Tshilidzi Marwala, Collins Achepsah Leke

Building on, 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 on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

320 pages, Hardcover

Published November 28, 2019