Question 5. Case Study Suppose you are required to develop a software system to predict stock market and to provide operation instructions for investors to maximize their stock gains. The software should have the following functions: 1) It can apply all the stock market information (quantitative (numerical values) and qualitative (text or symbolic information)). 2) It can provide the investors guidance about when and how much they should buy or sell some shares to maximise their gains within a limited period, given the total amount of available fund. Select one machine learning model from linear predictor, support vector machine, decision tree, and neural network, and justify your selection by comparing the advantages and disadvantages of different models. Describe how to combine the selected model and the stock market information to generate operation instructions. (The answer to this question should take less than one page of text, approximately 500 words.) [40 marks]