a) What are supervised and unsupervised machine learning? Describe each of them briefly, and for each of these types, give examples from a human agent's perspective. [6 points] b) What are the steps involved in a machine learning task? Describe these steps in the context of a problem where the machine tries to predict whether a patient will have a stroke based on his medical records. [7 points] c) In the context of machine learning what do overfitting and underfitting mean? Explain with examples/figures. [5 points]