株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies. 2022 ed.
商品詳細
Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies. 2022 ed.
・ISBN 978-3-031-18482-6 hard EUR 159.99
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お気に入り
★★★
| 著者・編者 | Alyoubi, Bader / Ben Ncir, Chiheb-Eddine / Alharbi, Ibraheem / Jarboui, Anis (eds.), |
|---|---|
| シリーズ | (Unsupervised and Semi-Supervised Learning) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 206 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-95964＞ |
解説
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.