  Regression has attracted immense interest lately due to its effectiveness in
tasks like predicting values. And Regression is of widespread use in multiple
fields such as Economics, Finance, Business, Biology and so on. While
considerable studies have proposed some impressive models, few of them have
provided a whole picture regarding how and to what extent Regression has
developed. With the aim of aiding beginners in understanding the relationships
among different Regression algorithms, this paper characterizes a broad and
thoughtful selection of recent regression algorithms, providing an organized
and comprehensive overview of existing work and models utilized frequently. In
this paper, the relationship between Regression and Deep Learning is also
discussed and a conclusion can be drawn that Deep Learning can be more powerful
as an combination with Regression models in the future.
