AWS Supports You | Using Amazon SageMaker Canvas to Generate ML Predictions Without Writing Code

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Published Feb 17, 2025

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AWS Supports You: Using Amazon SageMaker Canvas to Generate ML Predictions Without Writing Code gives viewers on the twitch.tv/aws channel an overview of Amazon SageMaker Canvas, the current state and issues with ML value creation, how to scale ML value creation by enabling analysts, and a thorough demo of how it works. This series showcases best practices and troubleshooting tips from AWS Support. This episode originally aired on April 11th, 2022.

Intro 0:00
Current State of ML Value Creation 5:36
How to Scale ML Value Creation 08:14
Challenges Analysts Face in Building ML 10:32
Intro to Amazon SageMaker Canvas 13:05
SageMaker Canvas Demo - Intro 21:47
Demo - Import and Join Data 26:06
Demo - Build Quick Model 31:32
Demo - Performance Metrics 35:59
Demo - Predictions 40:59
Demo - Standard Build 45:43
Demo - Studio Link Share 46:48
Demo - Other Problem Types 50:12
Demo - Unbalanced Dataset 50:46
Demo - Deploy Model 52:57
Demo - Explainability 53:33
Getting Started 54:42

Recommended Links:
Previous ASY episode on SageMaker - https://www.youtube.com/watch?v=XDnLRP_9q1A

https://aws.amazon.com/blogs/machine-learning/build-share-deploy-how-business-analysts-and-data-scientists-achieve-faster-time-to-market-using-no-code-ml-and-amazon-sagemaker-canvas/

https://catalog.us-east-1.prod.workshops.aws/workshops/80ba0ea5-7cf9-4b8c-9d3f-1cd988b6c071/en-US/1-marketing

http://aws.amazon.com/sagemaker/canvas

Amazon SageMaker Canvas Immersion Day
https://catalog.us-east-1.prod.workshops.aws/workshops/80ba0ea5-7cf9-4b8c-9d3f-1cd988b6c071/en-US

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