Code: 22485965
Supervised and Unsupervised Learning for Data Science
by Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practic ... more
- Language:
English - Binding: Hardback
- Number of pages: 187
Publisher: Springer Nature Switzerland AG, 2019
- More about this
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Book synopsis
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along w
Book details
Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications
102.76 €
- Full title: Supervised and Unsupervised Learning for Data Science
- Author: Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
- Language: English
- Binding: Hardback
- Number of pages: 187
- EAN: 9783030224745
- ISBN: 3030224740
- ID: 22485965
- Publisher: Springer Nature Switzerland AG
- Weight: 465 g
- Dimensions: 235 × 155 × 16 mm
- Date of publishing: 19. September 2019
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