精选理由
AWS 教你用 Snowflake 和 SageMaker Canvas 搭建无代码机器学习工作流，第一部分讲怎么在 AWS 上配置 Snowflake，为后续做欺诈检测模型打基础。
本文是系列教程的第一部分。文章指导用户在 AWS 账户中设置 Snowflake 环境。该环境将用于与 Amazon SageMaker Canvas 配合，构建一个无需编写代码的机器学习工作流。这个工作流旨在将存储在 Snowflake 中的运营数据转化为预测模型，例如欺诈检测模型。
原文 · AWS Machine Learning Blog
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for building a fraud detection model without writing code.