MLOps using AWS Sagemaker Session Slides - Session 4 - Canvas
MLOps using AWS Sagemaker Session Slides - Session 4 - Canvas
Meetup Link
https://www.meetup.com/dataopslabs/events/290961439/
Summary
Embark on an exploration of the transformative capabilities of Sagemaker Canvas in our upcoming presentation. This visual interface redefines machine learning model development, offering accessibility to a broader audience, including business analysts and data scientists without coding expertise. Discover the practical use cases for Sagemaker Canvas, ranging from binary classification models to the documentation of model details through model cards. The live demo will guide you through the seamless process of performing a binary classification model, showcasing the platform's user-friendly approach and transparency features.
Sagemaker Canvas distinguishes itself with a streamlined workflow that encompasses data preprocessing, model building, tuning, deployment, and monitoring—all within a unified platform. Designed to integrate effortlessly with AWS's scalable infrastructure, it caters to organizations of any size, from startups to large enterprises. Explore the time-saving benefits of pre-built machine learning models and witness the platform's integration with AWS services like Amazon S3 and Amazon CloudWatch. Join us on this journey where Sagemaker Canvas blends simplicity with sophistication, offering a glimpse into the future of accessible and scalable machine learning solutions.
