Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies (1st ed. 2022) (Unsupervised and Semi-Supervised Learning)

By: Bader Alyoubi and Chiheb-Eddine Ben Ncir and Ibraheem Alharbi and Anis Jarboui

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Synopsis: This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.

Book Quality:: Publisher Quality
ISBN-13:: 9783031184833
Related ISBNs:: 9783031184826
Publisher:: Springer International Publishing
Date of Addition:: 01/15/23
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics, Communication
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Bader Alyoubi
Edited by:: Chiheb-Eddine Ben Ncir
Edited by:: Ibraheem Alharbi
Edited by:: Anis Jarboui