eBook - Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code, 1ed

  • ISBN: 9789377064341
  • 336 pages

Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2025

Description

The book introduces artificial intelligence and machine learning with an accessible approach, covering AI/ML concepts, applications, ethical considerations, and model deployment. It prepares students for AI-driven careers with practical coding exercises, real-world case studies, governance discussions, and multimedia learning resources, suitable for business, engineering, and healthcare programs.

About the Author

R. Kelly Rainer is the George Phillips Privet Professor in the Department of Business Analytics and Information Systems at Auburn University.

Table of Contents

Preface

1 Artificial Intelligence and Machine Learning and You

2 Fundamentals of Artificial Intelligence and Machine Learning

3 Strategic Considerations for AI/ML Development

4 The Business Problem

5 Data Management

6 AI/ML Model Training

7 Neural Networks and Monitoring and Maintaining AI/ML Models

8 Generative Machine Learning (Generative AI)

Appendix

Index

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