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LinkedIn Learning

Learning Amazon SageMaker

via LinkedIn Learning

Overview

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Learn how to use Amazon SageMaker to analyze data sets and train and deploy predictive machine learning models.

Syllabus

Introduction
  • Machine learning with Amazon SageMaker
  • What you should know
1. Introduction to SageMaker
  • What is Amazon SageMaker?
  • How does Amazon SageMaker work?
  • Benefits of Amazon SageMaker
  • Interacting with Amazon SageMaker
2. Analyze Data
  • Data analysis tools
  • Download and import data
  • Investigate data
  • Data visualization: Categories
  • Data visualization: Numerical
  • Data summary tools
  • Challenge: Describe a dataset
  • Solution: Describe a dataset
3. Build Models
  • Cleaning up the data
  • Preparing the model training set
  • Model training
  • Checking model training results
  • Challenge: Train a basic model
  • Solution: Train a basic model
4. Deploy Models
  • Deploy trained model
  • Test deployed model for single record
  • Test deployed model for multiple records
  • Challenge: Transfer model to server
  • Solution: Transfer model to server
  • Review the model for accuracy
Conclusion
  • Next steps

Taught by

Martin Kemka

Reviews

4.6 rating at LinkedIn Learning based on 424 ratings

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