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Supervised and Unsupervised Learning for Data Science|Michael W. Berry

Supervised and Unsupervised Learning for Data Science

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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

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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