A Survey of Machine Learning Methods for Big Data

Abstract

In this research paper, we explore a diverse array of machine learning algorithms and offer a comprehensive literature survey of the most recent developments in the field of machine learning for processing big data. Our examination begins with a detailed overview of the categories and algorithms within machine learning, showcasing their versatile applications in areas such as data mining, image processing, and predictive analytics. One of the prominent benefits of employing machine learning lies in its capacity to enable automated decision-making once the algorithms acquire the necessary data comprehension. Lastly, we address a range of ongoing challenges and emerging research directions in this dynamic field.