Utilizing Deep Learning and Advanced Machine Learning Methods in Economic Data Analysis

This extensive research explores the most recent developments in data science as they relate to developing nations. It carefully looks at four different categories: In an effort to find the cutting edge of technological innovation, collaborative models, mixed neural architectures, neural networks, and combination machine learning approaches are used. These innovative approaches are applied in a wide range of economic domains, including corporate banking, cryptocurrency, e-commerce, stock markets, and marketing. The study uses the Prisma method, a systematic literature review technique, to guarantee the highest level of rigor and accuracy in its findings. After further examination, a pattern becomes apparent that makes hybrid models the preferred option over conventional learning algorithms. The better performance of these hybrid models highlights a trajectory of rising complexity in the area and points to a trajectory towards more sophisticated hybrid deep learning architectures.