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Snowflake and AWS SageMaker Canvas enable no-code ML workflows

This two-part series details how to build a no-code machine learning workflow using Snowflake, Amazon SageMaker Canvas, and Amazon QuickSight. The first part focuses on setting up the AWS environment and connecting to Snowflake, highlighting the challenges healthcare, retail, and life sciences teams face in leveraging their data for predictions. The second part guides users through data preparation using Data Wrangler, joining transaction data, and training an XGBoost model for fraud detection within Amazon SageMaker Canvas. AI

IMPACT Enables non-technical users to build ML models, potentially accelerating adoption in data-rich industries.

RANK_REASON The cluster describes a tutorial on using existing products to build an ML workflow, not a new product release.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Snowflake and AWS SageMaker Canvas enable no-code ML workflows

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment Healthcare, retail, and l

    🤖 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 Par…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

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

    🤖 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 da…