Mathematical Theories of Machine Learning – Theory and Applications
by Sitharama S. Iyengar; Bin Shi.
Springer Nature, pp 104, Published by Springer, June 2019
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- – Provides a thorough look into the variety of mathematical theories of machine learning
- – Presented in four parts, allowing for readers to easily navigate the complex theories
- – Includes extensive empirical studies on both the synthetic and real application time series data