Analysis of Various ML Algorithm with the use of Big Data Analytics: A Review

Recent years have seen a meteoric rise in research attention paid to the big data across all areas of computer science. Methods of instruction in particular communicate vital prospects and possibility of radical change in a number of fields of thought and novel instructional approaches that tackle a wide range of problems. Recent developments in machine learning are discussed in this paper. Learning in the age of big data. New machine concepts are also discussed. Approaches to education, with a concentration on more approaches to learning are presented, such as representation active learning, deep learning, transfer learning, and other types of learning. An overview and discussion of the current state of machine learning tools, accompanying difficulties, and possible solutions are in addition to being shown and contrasted with the viewpoint data mining.