Handbook of HydroInformatics: Volume II: Advanced Machine Learning Techniques


Handbook of HydroInformatics: Volume II: Advanced Machine Learning Techniques
by Saeid Eslamian (Editor), Faezeh Eslamian (Editor)
Publisher Finelybook 出版社: Elsevier; (December 23, 2022)
Language 语言: English
pages 页数: 418 pages
ISBN-10 书号: 0128219610
ISBN-13 书号: 9780128219614


Book Description
Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode.
This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering.

打赏
未经允许不得转载:finelybook » Handbook of HydroInformatics: Volume II: Advanced Machine Learning Techniques

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏