The roles of differencing and dimension reduction in machine learning forecasting of employment level using the FRED big data

Business & Economics

• Artificial Neural Network 27%
• Autoregressive Model 29%
• Big Data 51%
• Dimension Reduction 100%
• Economic Data 29%
• Economic Statistics 34%
• Federal Reserve 26%
• Forecast Comparisons 41%
• Learning Methods 32%
• Long-term Forecast 35%
• Machine Learning 67%
• Macroeconomic Variables 25%
• Neural Networks 30%
• Out-of-sample Forecasting 28%
• Predictors 27%
• United States of America 10%

Mathematics

• Artificial Neural Network 16%
• Autoregressive Model 14%
• Business 13%
• Dimension Reduction 58%
• Economics 22%
• Forecast 61%
• Forecasting 58%
• Influence 9%
• Machine Learning 56%
• Macroeconomics 17%
• Memory Term 33%
• Neural Networks 12%
• Predictors 11%
• Statistics 8%
• Time series 11%
• Unit 17%

Engineering & Materials Science

• Big data 46%
• Deep neural networks 25%
• Economics 33%
• Industry 11%
• Long short-term memory 60%
• Machine learning 37%
• Neural networks 15%
• Statistics 19%
• Time series 22%