Automated Machine Learning
Building machine learning models demands a time-consuming and expert-driven workflow and architecture, which includes data pre-processing, feature engineering, model or technique selection, training, and tuning. AutoML aims to automate this workflow using some different statistical and deep learning techniques.
Automated Machine Learning Comparison with other Models
The feature engineering part which is handled manually in Machine learning, it is dealt with in an automated way in Automated Machine learning.
Automated Machine Learning AutoML Applications
AutoML is a technique that can be used as a democratization of AI tools and techniques, enabling business users to develop machine learning models without a deep programming background. It will also reduce the time which data scientists take to develop models. Expect to see added commercial AutoML packages and integration of AutoML inside more extensive machine learning platforms.