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Amazon SageMaker cheat sheet

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Amazon Sagemaker Ground Truth Cheat Sheet

2026-01-07T05:39:07+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing    A fully managed data labeling service that uses a combination of human workers and machine learning to build high-quality datasets for training machine learning models. It provides built-in workflows, multiple workforce options, and automated labeling to reduce cost and time.   Features Automated Data Labeling (Active Learning) Uses a machine learning model to pre-label datasets and continuously learns from human feedback. It sends only low-confidence data to human reviewers, reducing labeling costs by up to 70% compared to [...]

Amazon Sagemaker Ground Truth Cheat Sheet2026-01-07T05:39:07+00:00

Streamline your SageMaker Environments using Terraform

2026-01-07T20:22:21+00:00

Bookmarks Advantages of using Terraform in SageMaker AI Disadvantages of using Terraform in SageMaker AI Solution Overview Solution The high-level steps to implement this solution with Terraform Pre-requisites for provisioning SageMaker AI Studio with Terraform Create the S3 Bucket and DynamoDB for Remote State Let's implement the Terraform Project Structure for your SageMaker AI Make the required IAM Resources. Put in place Storage Resources (S3) Build Network Infrastructure via VPC. Deploy your SageMaker AI Resources using Terraform. Make the Outputs. To delete your SageMaker AI with [...]

Streamline your SageMaker Environments using Terraform2026-01-07T20:22:21+00:00

Amazon SageMaker AI

2025-12-18T11:15:08+00:00

Bookmarks Concepts Common Training Data Formats For Built-in Algorithms Input modes for transferring training data Two methods of deploying a model for inference SageMaker features Optimization Amazon SageMaker Monitoring Amazon SageMaker Pricing Validate Your Knowledge Amazon SageMaker AI Cheat Sheet A fully managed service that allows data scientists and developers to easily build, train, and deploy machine learning models at scale. Provides built-in algorithms that you can immediately use for model training. Also supports custom algorithms through docker containers. One-click model deployment. Concepts Hyperparameters It refers to a [...]

Amazon SageMaker AI2025-12-18T11:15:08+00:00

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