[9_3_B]

Please answer this question step by step

3. Answer the following questions about supervised learning: (a) What is the difference between parametric and non-parametric models? Also give an example each. (b) What is the purpose of k-fold cross-validation? How is it done? (C Explain the concept of boosting when learning an ensemble based classifier. (d) How is a nave Bayesian model different from a regular one? What is the motivation (or advantage) of using a nave model