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£108.75
Springer Machine Learning and Data Mining for Climate Science
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Description
Key Features
Covers the fundamentals of Climate Informatics, a growing field combining data mining with climate science research.
Provides insights into using machine learning to process massive datasets from satellites and environmental sensors.
Explores methods for analyzing data produced by modern climate models to better understand the climate system.
Offers an interdisciplinary perspective on the tools and methods needed to address climate change challenges.
Presents research from the 4th International Workshop on Climate Informatics for current scientific perspectives.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3319365584
- Category
- Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
- Domain
- Amazon UK
- Release Date
- 15 October 2016
- Listed Since
- 07 October 2016
Barcode
No barcode data available
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