Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies (2022)Hardcover - 2022, 16 December 2022

Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies (2022)
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Part of Series
Unsupervised and Semi-Supervised Learning
Print Length
206 pages
Language
English
Publisher
Springer
Date Published
16 Dec 2022
ISBN-10
3031184823
ISBN-13
9783031184826

Description

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.

Product Details

Book Edition:
2022
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
16 December 2022
Dimensions:
23.39 x 15.6 x 1.42 cm
ISBN-10:
3031184823
ISBN-13:
9783031184826
Language:
English
Location:
Cham
Pages:
206
Publisher:
Springer
Weight:
485.34 gm

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