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£100.11
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Springer Feature Learning and Understanding - AI & Machine Learning Book
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Description
Key Features
Covers both traditional and advanced feature learning methods from principal component analysis to tensor-based extraction techniques.
Springer publication providing theoretical analysis combined with real-world case studies demonstrating practical applications.
Explores sparse learning and low-rank decomposition methods for modern machine learning feature engineering.
Focuses on geometrical-structure-based and advanced feature extraction approaches essential for artificial intelligence development.
Demonstrates how quality features determine model effectiveness more than classifier selection in machine learning projects.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030407969
- Domain
- Amazon UK
- Release Date
- 04 April 2021
- Listed Since
- 08 March 2021
Barcode
No barcode data available
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