I. Supervised and Unsupervised learning: Explain the differences between the two main types of machine learning methods. What are the main
categories of each learning method?
II. Artificial Neural Nets: Describe how artificial neural nets (ANNs) use supervised learning to predict outcomes in decision-making. How are
ANNs employed as data analysis tools for forecasting in the realm of managerial decision support?
III. Real-world Examples: Provide a real-world example of each type of learning and explain how each method is applied in each of your
Sample Solution
