Applied Artificial Intelligence and Machine Learning in Business

Catalog description

MIS 441 emphasizes the practical applications of machine learning (ML) and artificial intelligence (AI) within the context of business decision-making, equipping students with the knowledge and skills necessary to leverage these technologies effectively. The course encompasses a comprehensive exploration of a wide range of ML and AI algorithms. A significant focus is placed on applying these models to tackle real-world business challenges, ensuring that students gain practical experience in problem-solving. Through case studies and hands-on projects, students will understand how to identify opportunities for ML and AI integration in various business contexts, from optimizing supply chains to enhancing customer experiences. Additionally, students will learn how to select appropriate algorithms for specific tasks and evaluate model performance using key metrics. The course will also cover essential steps in the data analysis pipeline, including data cleaning to ensure quality inputs, feature selection to identify the most relevant variables, and model training to optimize algorithm performance. By the end of the course, students will have a solid foundation in ML and AI techniques and will be well-prepared to apply these concepts in real-world business scenarios. This comprehensive understanding will empower them to make data-driven decisions that enhance operational efficiency and drive innovation within their organizations.