Information about Automated Machine Learning (AutoML) - AutoML

The purpose of this site is to provide general information about the hot new field of automated machine learning (AutoML) and to provide links to our own PennAI accessible artificial intelligence system and Tree-Based Pipeline Optimization Tool (TPOT) algorithm and software for AutoML using Python and the scikit-learn machine learning library. We also provide links to some other commonly used AutoML methods and software. The goal of 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. Each of these steps can be time-consuming for the machine learning expert and can be debilitating for the novice. These methods enable data science using machine learning thus making this powerful technology more widely accessible for those hoping to make use of big data.