Systematic Literature Review on the state of the art of Auto ML

Author

• Hanying Zhang

Abstract

Machine Learning has become very popular these years and has deeply changed our daily lives. However, most of the Machine Leaning tasks need heavy work from human experts to achieve good results. Therefore, an end-to-end Machine Learning technique without the assistance of humans, i.e., AutoML, will make it much easier to apply Machien Learning in different areas. In this report, a survey on AutoML will be carried out, focusing on the theoretical background, the main approaches and techniques used in AutoML.

Outcome

• project forum
• repository
• final report