Coefficient of Variation and Machine Learning Applications Hardback
by K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Part of the Intelligent Signal Processing and Data Analysis series
Hardback
- Information
Description
Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms.
This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation.
It also compiles representational and classification strategies based on the CV through illustrative explanations.
The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications.
Overall, this book explains statistical parameters and knowledge representation models.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:148 pages, 24 Tables, black and white; 30 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:02/12/2019
- Category:
- ISBN:9780367273286
Other Formats
- Paperback / softback from £18.42
- PDF from £15.38
- EPUB from £15.38
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:148 pages, 24 Tables, black and white; 30 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:02/12/2019
- Category:
- ISBN:9780367273286
