English | 2020 | ISBN: 978-9811205668 | 322 Pages | PDF, EPUB | 20 MB
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 on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.
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