Machine Learning for Big Data

Abstract

Big data and machine learning currently play an important role in various applications and in research. These approaches are explored in depth in this chapter. The chapter starts with a summary of big data and its implementation in a number of fields, and then deals with the problems that big data presents and the need for other technology to resolve these issues/challenges. Big data can best be used with the aid of the machine learning model, even though they are not directly related. Thus, the paradigms of machine learning that support big data can be combined with big data technology, thus providing insight into a range of big data machine learning approaches and techniques. Although big data cannot rely solely on the few paradigms of machine learning, the underlying problems are addressed. New machine learning algorithms are needed that can explore the full scale of the big data process and enable software engineering firms to come up with better solutions.