Artificial Intelligence (AI) considers the business applications of machine learning (ML), and how AI supports the discovery of meaningful patterns in data and adds insights into predicting performance as well as increasing productivity. Learners explore advanced concepts in machine learning, including details of decision tree algorithms, the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. They also explore the C5.0 algorithm and review some of its key features, such as global pruning and winnowing, and dive into advanced topics that apply to all decision trees, such as boosting and bagging. The course covers four major topics: first, machine learning and neural networks; second, value creation across the value chain phases (project, produce, promote, and provide) and various industry verticals (retail, electric utilities, manufacturing, healthcare, and education); third, elements of successful artificial intelligence transformation (use cases/sources of value, data ecosystem, techniques and tools, workflow integration, and open culture and organization); and fourth, artificial intelligence cases across retail, electric utilities, manufacturing, healthcare, and education.
AIA 6600