[PDF.91si] Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

[PDF.oj91] Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

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 | #1277600 in Books |  Hsieh William W |  2009-08-31 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.72 x.79 x6.85l,1.90 | File type: PDF | 364 pages

 | Machine Learning Methods in the Environmental Sciences Neural Networks and Kernels

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||4 of 4 people found the following review helpful.| A unique textbook|By AJ|This unique book introduces neural network and kernel methods to students and practitioners in the environmental sciences. It will probably be of most use to meteorologists and climatologists, as its treatment of nonlinear extensions of linear multivariate techniques such as principal component analysis, canonical correlation analysis, singular spectrum| |'... one of the first books describing machine learning techniques in the context of environmental applications ... goes a long way in explaining these subjects in a very clear, concise, and understandable way. This is one of the few books where one will find

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modeling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction,...

You can specify the type of files you want, for your device.Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels   |  William W. Hsieh.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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