There has been rapid growth and advancements in AutoML systems over the last few years. AutoML automates the full development lifecycle for enterprise AI and ML applications, and makes it possible for a data scientist to automate the optimisation and selection of ML models, but it does encounter some limitations. Now, with the next version, AutoML 2.0, these systems plan to automate the most complicated, and time-consuming part of the enterprise AI development lifecycle – feature engineering, which typically takes months using traditional methods.
Date : April 26, 2020 at 06:36AM
Tag(s) : #AI ENG
