AutoML platforms have numerous options for the algorithms to try for each step of the
analysis, ie, different possible algorithms for imputation, transformations, feature selection …

Machine learning (ML) has penetrated all aspects of the modern life, and brought more
convenience and satisfaction for variables of interest. However, building such solutions is a …

Automated Machine Learning (AutoML) is a rapidly growing set of technologies that
automate the model development pipeline by searching model space and generating …

Automated machine learning (AutoML) frameworks have become important tools in the data
scientist's arsenal, as they dramatically reduce the manual work devoted to the construction …

The advent of automated machine learning (AutoML) tools promises to democratize
machine learning to non-experts in the field. These tools certainly effect the process of …

Abstract The emergence of Machine Learning (ML) has altered how researchers and
business professionals value data. Applicable to almost every industry, considerable …

This thesis focuses on data preprocessing as one crucial step of Automated ma chine
learning (AutoML). Investigation of data preprocessing of the current stateof-the-art methods …

In this paper, we introduce the" Model ML" platform, an innovative and automated solution
with the primary objective of democratizing the development of machine learning models …

Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …