Téléchargez le livre : Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Methods, Applications, and Case Studies de

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Éditeur :

Springer


Collection :

Unsupervised and Semi-Supervised Learning

Paru le : 2022-12-15

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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.
Pages
206 pages
Collection
Unsupervised and Semi-Supervised Learning
Parution
2022-12-15
Marque
Springer
EAN papier
9783031184826
EAN PDF
9783031184833
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
4567 Ko
Prix
158,24 €
EAN EPUB
9783031184833
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
15340 Ko
Prix
158,24 €

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