Machine Learning Concept, Algorithms and Applications: A Survey

Computer Engineering

From the past decade, Machine Learning (ML) has progressed from the endeavour of few computer aficionados exploiting the prospect of computers learning to play games, and Mathematics (Statistics) that seldom considered computational methods, to an autonomous research discipline that has not solitary provided the obligatory base for statistical-computational principles. Machine Learning is a discernment which consensuses the machine to attain from examples and experience, and that furthermore deprived of being obviously programmed. This also offers many other commercial resolutions and has led to a distinct research interest in data mining to recognize hidden symmetries or asymmetries in social data that growing by second. This paper mainly emphases on explaining the perception and evolution of Machine Learning, some of the prevalent Machine Learning algorithms and try to associate three most popular algorithms based on some basic notions. We also discuss the application of machine learning in different sectors.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.