Note: please read the instruction carefully since this is a technical writing and you have to be familiar with machine learning to finish this task
- Your task is to summaries 21 papers and write the related work.
- The total works should be not less than 2000 words and it should be finished within 3 days
- You will be provided with total of 21 papers as a reference papers, please don’t add any extra reference.
- I am expecting a draft to be received after finishing with each part, so I can track the progress and adjust it if needed.
- When you use any reference paper please add the page number of the reference which you get the information from( and I will check this part particularly)
- You will be provided with excel sheet ‘literature review comparison table’, this is a draft table, you need to summaries the table and use fewer words to describe the comparison. Then please use the table at the end of the paragraph.
- The outlines for this chapter are:
• Countries that used inflation rate prediction.
• Methods used to predict inflation rate:
o Econometric models ( (ARIMA), Random walk (RW), Autoregression (AR) )
o Machine learning methods: ( Linear regression models, Decision trees, Deep learning methods: (Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN))
• Comparison between econometric methods and machine learning methods
• Factors that affect the inflation rate
Please refer to the ‘related work instructions’ document for more details
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