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Название: Handbook of Machine Learning, Volume 1-2
Автор: Tshilidzi Marwala, Collins Achepsah Leke
Издательство: World Scientific Publishing
Год: 2019-2020
Страниц: 329+321
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB

This is a comprehensive book on the theories of Artificial Intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these Machine Learning techniques and describes the problem of causality. This book should serve as a useful reference for practitioners in Artificial Intelligence (AI).

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.

Books:
1) Handbook Of Machine Learning, Volume 1: Foundation Of Artificial Intelligence
2) Handbook of Machine Learning, Volume 2: Optimization And Decision Making





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