What is Automated Machine Learning (AutoML)?

AutoML streamlines the entire machine learning workflow—data cleaning, feature engineering, model selection, and hyperparameter tuning—making advanced analytics accessible to both experts and novices. Its real-world applications span SEO, healthcare, finance, and more.

Automated Machine Learning (AutoML) is a groundbreaking technology that allows the machine learning model development, deployment, and hyperparameter tuning process to be automated and available to experts and non-experts alike.

This article will take you on a journey through AutoML, discussing what it is, its advantages, its uses, and how it is transforming industries like SEO.

Introduction to AutoML

Automated Machine Learning (AutoML) is a type of machine learning where the entire machine learning model-building process is automated. AutoML involves data preprocessing, feature engineering, model selection, and hyperparameter tuning.

AutoML simplifies the machine learning workflow by automating these tasks, making it more efficient and accessible to a broader audience, including those without extensive machine learning expertise ...