Détail de l'auteur
Auteur Amar SAHAY |
Documents disponibles écrits par cet auteur (2)



Machine Learning Fundamentals : Concepts, Models, and Applications / Amar SAHAY / BUSINESS EXPERT PRESS (2025)
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Titre : Machine Learning Fundamentals : Concepts, Models, and Applications Type de document : e-book Auteurs : Amar SAHAY Editeur : BUSINESS EXPERT PRESS Année de publication : 2025 ISBN/ISSN/EAN : 9781637427484 Note générale : copyrighted Langues : Anglais (eng) Résumé : Machine Learning Fundamentals provides a comprehensive overview of data science, emphasizing machine learning (ML). This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time.This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88968176 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=604570 Business Analytics, Volume I : A Data-Driven Decision Making Approach for Business / Amar SAHAY / BUSINESS EXPERT PRESS (2016)
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Titre : Business Analytics, Volume I : A Data-Driven Decision Making Approach for Business Type de document : e-book Auteurs : Amar SAHAY, Auteur Editeur : BUSINESS EXPERT PRESS Année de publication : 2016 Importance : 244 p. ISBN/ISSN/EAN : 978-1-63157-332-3 Langues : Anglais (eng) Mots-clés : Management
POLITIQUE COMMERCIALE ; TABLEAU DE BORDRésumé : usiness Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications. Nombre d'accès : 3 En ligne : https://neoma-bs.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535223

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