A Study on Recent Developments in Automated Machine Learning

Authors

  • S. Beski Prabaharan, Gatish Mehta, Harsh Chauhan

Abstract

Automated Machine Learning is the process of applying and automating machine learning to real-world problems. Automated Machine Learning (AutoML) covers the complete pipeline from the raw dataset to the deployable machine learning model. AutoML has emerged as the subfield of machine learning, which aims to find optimal solutions automatically for the machine learning problem. In the context of supervised learning, automated machine learning adopts various components including pre-processing, feature extraction and bayesian optimization.  Tools and algorithms have been applied in every application domain (business, marketing, advertisement, healthcare, automobile) and are classified and described.

Published

2020-11-01

Issue

Section

Articles