| Coefficient of Variation and Machine Learning Applications Contributor(s): Hima Bindu, K. (Author), Morusupalli, Raghava (Author), Dey, Nilanjan (Author) |
|
 |
ISBN: 1032084197 ISBN-13: 9781032084190 Publisher: CRC Press OUR PRICE: $23.70 Product Type: Paperback - Other Formats Published: June 2021 |
| Additional Information |
| BISAC Categories: - Computers | Machine Theory - Computers | Computer Engineering - Mathematics | Probability & Statistics - General |
| Physical Information: 0.32" H x 5.5" W x 8.5" (0.40 lbs) 148 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |