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Application of Machine Learning in Earth Sciences: A Practical Approach

by Swapnil Vyas , Shridhar D. Jawak , Pramit Kumar Deb Burman
Save 17% Save 17%
Current price ₹30,701.00
Original price ₹36,842.00
Original price ₹36,842.00
Original price ₹36,842.00
(-17%)
₹30,701.00
Current price ₹30,701.00

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Book cover type: Hardcover
  • ISBN13: 9783032114259
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 665
  • Original Price: USD 299.99
  • Language: English
  • Edition: N/A
  • Item Weight: 1125 grams
  • BISAC Subject(s): Environmental Science

This book introduces the reader to applications of machine learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in Earth Sciences. It discusses the use of several tools and software and the typical workflow for ML applications in Earth Sciences. This book provides a comparative analysis of how standard processes and ML algorithms work in several Earth Sciences applications. Case studies from the various fields of Earth Sciences are presented to illustrate how to apply ML and Deep Learning, these include regression, forecasting, time series analysis in Climate studies, classification methods using multi-spectral data clustering, and dimensionality reduction in classification. This book reviews ML/AI models, algorithms, and methods, analyse case studies, and examine methods of application of ML/AI techniques to specific areas of Earth Sciences. It aims to serve all professionals, and researchers, scientists alike in academics, industries, government, and beyond.

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