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Supervised and Unsupervised Learning for Data Science - Berry, Michael W (Editor), and Mohamed, Azlinah (Editor), and Yap, Bee Wah (Editor)
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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

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Supervised and Unsupervised Learning for Data Science 2020, Springer, Cham

ISBN-13: 9783030224776

2020 edition

Trade paperback

Supervised and Unsupervised Learning for Data Science 2019, Springer, Cham

ISBN-13: 9783030224745

2020 edition

Hardcover