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.

翻译：最近,倒退因其在预测价值等任务中的有效性而引起了巨大的兴趣。而倒退在经济、金融、商业、生物学等多个领域广泛使用。虽然大量研究提出了一些令人印象深刻的模式,但其中很少有人提供了关于倒退发展方式和程度的全面情况。为了帮助初学者了解不同倒退算法之间的关系,本文件对最近的回归算法作了广泛和深思熟虑的选择,提供了对现有工作和经常使用的模型的有条不紊的全面概览。本文还讨论了倒退与深层学习之间的关系,并可以得出结论,深层学习作为未来回归模型的结合,可以更加强大。