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£94.83
CRC Press Supervised Machine Learning - SAS and R Optimization Book
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Description
Key Features
Solves the bias-variance tradeoff problem to help build supervised learning models that work effectively in real-life applications.
Uses bootstrapping methods to create multiple training and testing datasets with various characteristics for better model validation.
Includes design and analysis of statistical experiments to identify the best feature subsets and optimal hyper-parameters.
Provides techniques for data contamination to test how robust your classifiers are against unexpected data changes.
Focuses on building classifiers that generalize well to new data rather than just performing well on training sets.
Offers practical implementation guidance for machine learning methods using both SAS and R software.
Product Specifications
- Brand
- CRC Press
- Format
- hardcover
- ASIN
- 0367277328
- Domain
- Amazon UK
- Release Date
- 22 September 2020
- Listed Since
- 01 April 2020
Barcode
No barcode data available
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