Hima Bindu, K.
Coefficient of Variation and Machine Learning Applications [electronic resource]. - Milton : CRC Press LLC, 2019. - 1 online resource (149 p.). - Intelligent Signal Processing and Data Analysis Ser. .
Description based upon print version of record.
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.
9781000752229 1000752224 9780429296185 0429296185 9781000752427 1000752429 9781000752625 1000752623
COMPUTERS / Machine Theory
COMPUTERS / Computer Engineering
MATHEMATICS / Probability & Statistics / General
Analysis of variance.
Big data--Statistical methods.
QA76.95
519.538 510
Coefficient of Variation and Machine Learning Applications [electronic resource]. - Milton : CRC Press LLC, 2019. - 1 online resource (149 p.). - Intelligent Signal Processing and Data Analysis Ser. .
Description based upon print version of record.
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.
9781000752229 1000752224 9780429296185 0429296185 9781000752427 1000752429 9781000752625 1000752623
COMPUTERS / Machine Theory
COMPUTERS / Computer Engineering
MATHEMATICS / Probability & Statistics / General
Analysis of variance.
Big data--Statistical methods.
QA76.95
519.538 510