Snowflake 与 SageMaker Canvas 构建无代码机器学习工作流

精选理由

AWS 教你用 SageMaker Canvas 连接 Snowflake，可视化处理数据，还能训练 XGBoost 模型，全程不用写代码，超适合想快速上手 ML 的人。

AI 摘要

本教程是系列第二部分，介绍如何将 Amazon SageMaker Canvas 连接到 Snowflake。使用 Data Wrangler 进行数据准备和可视化转换。训练 XGBoost 模型用于欺诈检测，全程无需编写机器学习代码。

Snowflake 与 SageMaker Canvas 构建无代码机器学习工作流 — 图片来源 · AWS Machine Learning Blog

原文 · AWS Machine Learning Blog

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3.

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