
Today, the sheer volume of data generated by humans and computers far exceeds the range of capabilities that humans can absorb, interpret and follow on complex decisions. Computers can calculate the permutation and combination of these moves extremely efficiently and get the best countermeasures. The paper introduces the history and development of Artificial Intelligence with the application of specific field, Machine Learning. With the introduction of Machine Learning, the paper experiments the influence of variables like consumption, and government spending on Gross Domestic Product (GDP). The results meets the economic and statistical theories.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
