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CRC Press Large-Scale Machine Learning in the Earth Sciences - CRC Press

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Description

Explore the intersection of advanced computing and environmental science with Large-Scale Machine Learning in the Earth Sciences. Part of the Chapman and Hall/CRC Data Mining and Knowledge Discovery Series, this book addresses the growing need for sophisticated data analysis in the Earth sciences field. While machine learning has transformed commercial sectors, its application in environmental studies is still developing, creating significant opportunities for researchers and computer scientists. Edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, this volume serves as a resource for those looking to tackle the challenges of analyzing large data sets. It focuses on using machine learning to answer questions of urgent societal interest, bridging the gap between computer science and environmental application. This text is designed to inspire new approaches to analyzing complex Earth science data through modern computational methods.

Key Features

Part of the professional Chapman and Hall/CRC Data Mining and Knowledge Discovery Series for specialized technical study.

Edited by experts Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser to ensure academic rigor.

Focuses on the application of machine learning to solve urgent societal questions through environmental data analysis.

Provides a foundational resource for computer scientists looking to transition into environmental and Earth science applications.

Addresses the specific challenges and opportunities found when applying large-scale data mining to Earth science data sets.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
15 October 2016
Listed Since
07 March 2016

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