Recall the example discussed in class where scientists utilized unsupervised machine learning to classify pictures of cancerous moles. Using the above example (or another one of your choice) explain: 1. What unsupervised machine learning (for a classification task) is 2. How the algorithm figures out how to perform the classification task . Hint: Decision Trees . Hint: Features . Hint: Training and testing sets 3. Discuss the pros and cons of unsupervised learning vs supervised learning. Edit View Insert Format Tools Table 12pt ~ Paragraph B IYA~ ZTV p