Handbook of Machine Learning - Volume 2: Optimization and Decision Making Contributor(s): Marwala, Tshilidzi (Author), Leke, Collins Achepsah (Author) |
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ISBN: 9811205663 ISBN-13: 9789811205668 Publisher: World Scientific Publishing Company
Binding Type: Hardcover - See All Available Formats & Editions Published: November 2019 |
Additional Information |
BISAC Categories: - Computers | Machine Theory - Computers | Intelligence (ai) & Semantics |
Dewey: 006.31 |
Physical Information: 0.75" H x 6.69" W x 9.61" L (1.57 lbs) 320 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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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