By Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser
From the Foreword:
"While large-scale computer studying and information mining have drastically impacted quite a number advertisement functions, their use within the box of Earth sciences remains to be within the early phases. This publication, edited by means of Ashok
Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as a good source for a person attracted to the possibilities and demanding situations for the computer studying group in interpreting those info units to reply to questions of pressing societal interest…I wish that this booklet will motivate extra laptop scientists to target environmental purposes, and Earth scientists to hunt collaborations with researchers in desktop studying and knowledge mining to improve the frontiers in Earth sciences."
--Vipin Kumar, college of Minnesota
Large-Scale computing device studying within the Earth Sciences presents researchers and practitioners with a wide evaluate of a few of the most important demanding situations within the intersection of Earth technological know-how, desktop technology, data, and similar fields. It explores a variety of issues and gives a compilation of contemporary study within the program of laptop studying within the box of Earth Science.
Making predictions in line with observational info is a subject matter of the publication, and the ebook comprises chapters at the use of community technological know-how to appreciate and become aware of teleconnections in severe weather and climate occasions, in addition to utilizing based estimation in excessive dimensions. using ensemble laptop studying types to mix predictions of worldwide weather versions utilizing info from spatial and temporal styles is additionally explored.
The moment a part of the ebook includes a dialogue on statistical downscaling in weather with state of the art scalable laptop studying, in addition to an summary of easy methods to comprehend and are expecting the proliferation of organic species as a result of alterations in environmental stipulations. the matter of utilizing large-scale laptop studying to review the formation of tornadoes can be explored in depth.
The final a part of the publication covers using deep studying algorithms to categorise photographs that experience very excessive solution, in addition to the unmixing of spectral indications in distant sensing photographs of land disguise. The authors additionally follow long-tail distributions to geoscience assets, within the ultimate bankruptcy of the book.
Read Online or Download Large-Scale Machine Learning in the Earth Sciences (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) PDF
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Extra resources for Large-Scale Machine Learning in the Earth Sciences (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Large-Scale Machine Learning in the Earth Sciences (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser