Machine Learning And Data Analytics For Solving Business Problems: Methods, Applications, And Case Studies (Unsupervised And Semi-Supervised Learning)

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.

• | Author: Bader Alyoubi, Chiheb-Eddine Ben Ncir, Ibraheem Alharbi, Anis Jarboui
• | Publisher: Springer
• | Publication Date: Dec 16, 2022
• | Number of Pages: 218 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3031184823
• | ISBN-13: 9783031184826