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Linkedin - Build an AI Application with React and AWS SageMaker

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Linkedin - Build an AI Application with React and AWS SageMaker (Size: 187.4 MB)
  1. Base app component.mp4 12 MB
  1. Basics of machine learning.mp4 2.6 MB
  1. Build an AI application with React and SageMaker.mp4 4 MB
  1. Continue learning SageMaker.mp4 1.1 MB
  1. Introduction to SageMaker Data Wrangler.mp4 17.1 MB
  1. Overview of algorithms and the training process.mp4 6.7 MB
  2. Course prerequisites.mp4 919.3 KB
  2. Data cleaning and processing with Data Wrangler.mp4 13.6 MB
  2. Form component.mp4 13.5 MB
  2. Introduction to SageMaker.mp4 3 MB
  2. Train the model with Autopilot.mp4 9.7 MB
  3. AWS SageMaker setup.mp4 4.3 MB
  3. Feature engineering and transforming data.mp4 16.4 MB
  3. Results component.mp4 16.9 MB
  3. Review models and deploy.mp4 11.1 MB
  4. Finish results component.mp4 25.1 MB
  4. Initializing the React project.mp4 4.9 MB
  4. Predict and clean up resources.mp4 4.3 MB
  Ex_Files_AI_App_React_AWS_SageMaker.zip 20.4 MB
  ▲ 19 total files

Description


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Course details

When you want a lot more control over your data, but don't want to manage machine learning tools locally, AWS SageMaker can provide the bridge you need. In this course, Emmanuel Henri shows you how to train SageMaker on your data, tune the results, and then connect it to a React-based application for delivery to your users. Emmanuel takes you through the process step by step, from the initial setup of the project, to feature engineering, training and deployment, and working with the React front end.

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