Author : Valliappa Lakshmanan
Release : 2015-06-30
Genre : Science
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Book Rating : 204/5 ( reviews)

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Machine Learning and Data Mining Approaches to Climate Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and Data Mining Approaches to Climate Science write by Valliappa Lakshmanan. This book was released on 2015-06-30. Machine Learning and Data Mining Approaches to Climate Science available in PDF, EPUB and Kindle. This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.