Large-Scale Machine Learning in the Earth Sciences

Large-scale machine learning could prove highly beneficial in the study of earth science, a broad, multidisciplinary field of study that generates huge amounts of data. This book is the first to tackle the subject, covering significant issues in earth science and large-scale machine learning techniques with well-known authorities in the field.

• | : Ashok N. Srivastava (Verizon, California, USA), Ramakrishna Nemani, Karsten Steinhaeuser (University of Minnesota, Minneapolis) (Edited by)
• | Publisher: Taylor & Francis Ltd
• | Publication Date: Jun 30, 2020
• | Country of Publication: United Kingdom
• | Number of Pages: 238 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 0367573237
• | ISBN-13: 9780367573232