Coefficient of Variation and Machine Learning Applications (ePub)
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,...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
- Autoren: K. Hima Bindu , Raghava Morusupalli , Nilanjan Dey , C. Raghavendra Rao
- 2019, 1. Auflage, 148 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000752623
- ISBN-13: 9781000752625
- Erscheinungsdatum: 20.11.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 15 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Coefficient of Variation and Machine Learning Applications".
Kommentar verfassen