Deep learning for economic transformation: a parametric review
Usman Tariq,
Irfan Ahmed,
Muhammad Attique Khan
et al.
Abstract:Deep learning (DL) is increasingly recognized for its effectiveness in analyzing and forecasting complex economic systems, particularly in the context of Pakistan's evolving economy. This paper investigates DL's transformative role in managing and interpreting increasing volumes of intricate economic data, leading to more nuanced insights. DL models show a marked improvement in predictive accuracy and depth over traditional methods across various economic domains and policymaking scenarios. Applications includ… Show more
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