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Supervised and Unsupervised Learning for Data Science
Other Available Formats
Overview
Includes new advances in clustering and classification using semi-supervised and unsupervised learning
Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning
Features applications from business, engineering, and social science that exploit techniques from semi-supervised and unsupervised learning
This item is Non-Returnable
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Details
- ISBN-13: 9783030224745
- ISBN-10: 3030224740
- Publisher: Springer
- Publish Date: September 2019
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 1 pounds
- Page Count: 187
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