AutoML (Automated Machine Learning)

About

Automated Machine Learning (AutoML) is a process that automates the development and deployment of machine learning models. It simplifies the complex tasks involved in traditional machine learning workflows, such as data preprocessing, feature engineering, model selection, and hyperparameter optimization. By automating these steps, AutoML makes machine learning more accessible to non-experts, allowing them to create and deploy models without extensive coding or machine learning expertise. AutoML streamlines the machine learning pipeline, reducing the time and expertise needed to develop high-performing models. It enables faster insights and broader applications of AI across industries. Key benefits include efficiency, cost savings, and improved model reliability. AutoML tools can handle various machine learning tasks, such as classification, regression, and natural language processing, making it a versatile solution for diverse applications.