Automated machine learning (AutoML) is a process of applying machine learning models to real-world problems using automation. More specifically, it automates the selection and composition/parameterization for these systems which can reduce time constraints when developing them in order that they may be more efficiently applied across diverse datasets with varying input formats


No posts to display

A Primer on Data Labeling Approaches To Building Real-World Machine Learning Applications