Automated Machine Learning (AutoML) is to make machine learning more accessible by automatically generating a data analysis pipeline that can include data pre-processing, feature selection, and feature engineering methods along with machine learning methods and parameter settings
The goal of Automated Machine Learning (AutoML) is to make machine learning more accessible by automatically generating a data analysis pipeline that can include data pre-processing, feature selection, and feature engineering methods along with machine learning methods and parameter settings that are optimized for your data
More and more research and libraries are available on the topic, examples include auto-sklearn, H2O AutoML and Cloud AutoML.