Amazon SageMaker
Train, evaluate and deploy models on Amazon SageMaker through a worked absenteeism-analysis case.
Concrete use case — Carved Rock Fitness: A regional gym chain wanted to analyze employee absenteeism. Their HR department had a large dataset, but the patterns in the data were too complex for manual analysis, and on-premises infrastructure was insufficient for intensive computation.
Machine Learning (ML) consists of delegating to a computer the statistical analysis of large amounts of data to detect patterns that are difficult for humans to identify.
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What's inside
7 sections- 1 Table of Contents
- 2 Introduction to Amazon SageMaker
- 3 Training Models
- 4 Model Evaluation
- 5 Deploying Models
- 6 General Summary
- 7 References and Resources
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