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- Дата: 23-12-2024, 03:06
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Название: Building Business Models with Machine LearningАвтор: Ambika N, Vishal Jain, Cristian González García, Dac-Nhuong Le
Издательство: IGI Global
Год: 2025
Страниц: 308
Язык: английский
Формат: pdf (true), epub
Размер: 14.9 MB
Organizations worldwide grapple with the complexities of incorporating Machine Learning (ML) into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating Machine Learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage Machine Learning effectively, enabling them to develop resilient and flexible business models. Chapter 1: Financial fraud remains a significant concern across various industries, particularly in sectors reliant on financial transactions. This chapter delves into the application of ML for improving fraud detection capabilities within the financial sector. A thorough review of existing literature is presented, examining various ML algorithms, including Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and Convolutional Neural Networks (CNN), and their effectiveness in detecting fraudulent activities.
