Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies

Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies

Alyoubi, Bader
Ben Ncir, Chiheb-Eddine
Alharbi, Ibraheem

Paperback

Series: Unsupervised and Semi-Supervised Learning

Business GeneralTechnology & Engineering

ISBN10: 3031184858
ISBN13: 9783031184857
Publisher: Springer Nature
Published: Dec 16 2023
Pages: 206
Weight: 0.69
Height: 0.46 Width: 6.14 Depth: 9.21
Language: English
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.

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