AWS Machine Learning Blog
Category: Amazon Redshift
Build multi-class classification models with Amazon Redshift ML
July 2024: This post was reviewed and updated for accuracy. Amazon Redshift ML simplifies the use of machine learning (ML) by using simple SQL statements to create and train ML models from data in Amazon Redshift. You can use Amazon Redshift ML to solve binary classification, multi-class classification, and regression problems and can use either AutoML or […]
Build regression models with Amazon Redshift ML
June 2023: This post was reviewed and updated for accuracy. With the rapid growth of data, many organizations are finding it difficult to analyze their large datasets to gain insights. As businesses rely more and more on automation algorithms, machine learning (ML) has become a necessity to stay ahead of the competition. Amazon Redshift, a […]
Exploring data warehouse tables with machine learning and Amazon SageMaker notebooks
Are you a data scientist with data warehouse tables that you’d like to explore in your machine learning (ML) environment? If so, read on. In this post, I show you how to perform exploratory analysis on large datasets stored in your data warehouse and cataloged in your AWS Glue Data Catalog from your Amazon SageMaker […]