Paid Feature Machine learning applications can do amazing things, but for many users, creating them remains a pain. Getting necessary data and then nursing it through a complex, repetitive training process is a daunting process with many specialist tasks. In May 2021, Amazon released Redshift ML, a service that makes it easier to retrieve data from its Redshift data warehouse and then build automated training workflows that create AI models from it. It joins similar services for other databases, such as Aurora ML and Neptune ML. Redshift ML focuses on building AI models based on supervised learning, which is the most popular approach to AI today.

What is Redshift ML?. The article talks the whereabouts of amazon(aws) redshift machine learning module which enables the analysts to run advanced analytics….

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how customers can use the automatic model training capability of Amazon Redshift to train their classification and regression models. Redshift ML provides several capabilities for data scientists. It allows you to create a model using SQL and specify your algorithm as XGBoost. It also lets you bring your pre-trained XGBoost model into Amazon Redshift for local inference.