Approaches Involving Big Data Analytics (BDA) Using Machine Learning, Described

In computer engineering and several other fields across the globe, big data analytics seems to be a developing research discipline. These would have made significant progress in numerous different applications. This includes online company networks, finance, healthcare, energy, agriculture, and many other industries. Various innovative machine learning methods have been established to provide big data projecting complex algorithms. The surveillance systems regularly gather a vast amount of data. Different forecasting methods are suggested for estimating energy consumption. The information on various machine learning approaches is investigated in this work. Additionally, this article examined modern prediction methodology. Furthermore, big data combined with traditional knowledge are used to test prediction models. In light of the findings of this research, gaps in existing studies are highlighted, and directions for future research are suggested.