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Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies by Bader Alyoubi; Chiheb-Eddine Ben N'Cir; Ibraheem Alharbi; Anis Jarboui is a nonfiction available to read on EtoBox.
What is Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies about?
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. Provides design and applications of machine learning and data analytics to solve business problems; Includes applications of supervised and unsupervised learning methods in intelligent management systems; Introduces case studies of business problems solved using innovative learning methods and data analytics techniques
Who reads Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Bader Alyoubi; Chiheb-Eddine Ben N'Cir; Ibraheem Alharbi; Anis Jarboui
- Publisher
- Springer International Publishing Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783031184826
- Category
- nonfiction
- Subjects
- Business, Engineering, Computer Science
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