Question No: 03 This is a subjective question, hence you have to write your answer in the Text-Field given below. A) Consider these data points: (x, y); (0,3),(2,4), (3,6), (4,5),(5,7) T Consider a linear hypothesis h(x) = 0x i). Derive the cost (error)function related to this discussion. (1 mark) ii) Draw the graph of the cost function. (1 mark) iii)Find the point at which error becomes minimal and also find the error at the point. (1 mark) iv) Estimate the value of y when x= 8 (1 mark) B) What is the purpose of gradient descent algorithm in machine learning. Explain with a simple example? (2 marks)