Unsupervised Learning Algorithms

Author:   M. Emre Celebi ,  Kemal Aydin
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319795904


Pages:   558
Publication Date:   26 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Unsupervised Learning Algorithms


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Full Product Details

Author:   M. Emre Celebi ,  Kemal Aydin
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   8.482kg
ISBN:  

9783319795904


ISBN 10:   3319795902
Pages:   558
Publication Date:   26 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

The book provides a valuable survey of an area of both research and application, particularly as massive datasets have become available. ... The book can be recommended to anyone interested in getting an overview of this fast-moving research and application area. Because each chapter has a comprehensive bibliography, the book can serve as an entry point for those wishing to work in or with unsupervised learning. (J. P. E. Hodgson, Computing Reviews, computingreviews.com, August, 2016)


The book provides a valuable survey of an area of both research and application, particularly as massive datasets have become available. ... The book can be recommended to anyone interested in getting an overview of this fast-moving research and application area. Because each chapter has a comprehensive bibliography, the book can serve as an entry point for those wishing to work in or with unsupervised learning. (J. P. E. Hodgson, Computing Reviews, computingreviews.com, August, 2016) The book provides a valuable survey of an area of both research and application, particularly as massive datasets have become available. The book can be recommended to anyone interested in getting an overview of this fast-moving research and application area. Because each chapter has a comprehensive bibliography, the book can serve as an entry point for those wishing to work in or with unsupervised learning. (J. P. E. Hodgson, Computing Reviews, computingreviews.com, August, 2016)


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