Awesome-AutoML-Papers A curated list of automated machine learning papers, articles, tutorials, slides and projects. Introduction to AutoML Machine learning (ML) has achieved considerable successes in recent years and an ever-growing number of disciplines rely on it. However, this success crucially relies on human machine learning experts to perform the following tasks: Preprocess the data Select appropriate features Select an appropriate model family Optimize model hyperparameters Postprocess machine learning models Critically analyze the results obtained. As the complexity of these tasks is often beyond non-ML-experts, the rapid growth of machine learning applications has created a demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets progressive automation of machine learning AutoML . AutoML draws on many disciplines of machine learning, prominently including ...