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.
| ISBN: | 9783031184826 |
| Publication date: | 16th December 2022 |
| Author: | Bader Alyoubi |
| Publisher: | Springer International Publishing AG |
| Format: | Hardback |
| Pagination: | 206 pages |
| Series: | Unsupervised and Semi-Supervised Learning |
| Genres: |
Machine learning Business and Management Communications engineering / telecommunications Probability and statistics |
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.
Machine Learning and Data Analytics for Solving Business Problems features in the following genres: Machine learning, Business and Management, Communications engineering / telecommunications, Probability and statistics
Machine Learning and Data Analytics for Solving Business Problems is available in Hardback
Machine Learning and Data Analytics for Solving Business Problems was written by Bader Alyoubi and published by Springer International Publishing AG
Machine Learning and Data Analytics for Solving Business Problems has 206 pages
Yes it is part of Unsupervised and Semi-Supervised Learning series
£125.99