[PDF.17ve] Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
William W. Hsieh
[PDF.kq06] Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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| #1054634 in Books | 2009-08-31 | Original language:English | PDF # 1 | 9.72 x.79 x6.85l,1.90 | File type: PDF | 364 pages||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 easily download any file type for your gadget.Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels | William W. Hsieh. Which are the reasons I like to read books. Great story by a great author.
