(1) Big data and pre-processing Concepts (8 marks) (a) Why pro-processing can improve the quality of data pipeline? (3 marks) (b) What is the difference between noise and outliers? (2.5 marks) (c) Why large-scale machine learning is challenging? (2.5 marks) (Note. For each question, provided two to four bullet points. Each bullet point has no more than two sentences.)