Does Redshift support the ability to use Machine Learning with SQL?
Redshift 是否支持将机器学习用于 SQL？
Yes, the Amazon Redshift ML feature makes it easy for SQL users to create, train, and deploy machine learning (ML) models using familiar SQL commands. Amazon Redshift ML allows you to leverage your data in Amazon Redshift with Amazon SageMaker, a fully managed ML service. Amazon Redshift supports both unsupervised learning (K-Means) and supervised learning (Autopilot, XGBoost, MLP algorithms). You can also use AWS Language AI services to translate, redact, and analyze text fields in SQL queries with prebuilt Lambda UDF functions - see blog post.
是，Amazon Redshift ML 功能使 SQL 用户能够使用熟悉的 SQL 命令更轻松地创建、训练和部署机器学习（ML）模型。Amazon Redshift ML 允许您将 Amazon Redshift 中的数据用于 Amazon SageMaker，一种完全托管式机器学习（ML）服务。Amazon Redshift 支持无监督学习（K-Means）和有监督学习（Autopilot、XGBoost、MLP 算法）。您还可以利用预构建的 Lambda UDF 函数，通过 AWS 语言 AI 服务翻译、编辑和分析 SQL 查询中的文本字段 - 参见博客文章。