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£107.98
Springer - Learning in Non-Stationary Environments Book
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Description
Key Features
Learn advanced methods for modeling and prediction in environments where data patterns are constantly shifting.
Gain expertise in classification and data understanding specifically tailored for non-stationary settings.
Explore recent approaches for designing systems that can learn and adapt to unpredictable changes.
Improve data processing techniques to handle the challenges of changing environmental conditions.
Develop more robust machine learning models that remain effective in dynamic and evolving scenarios.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 1489993401
- Domain
- Amazon UK
- Publication Date
- 08 May 2014
- Listed Since
- 09 May 2014
Barcode
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