Covers: theory of Model Serving
Estimated time needed to finish: 20 minutes
Questions this item addresses:
  • What is Model Serving?
How to use this item?

Read Section 'Code: Deployment Pipelines'

Author(s) / creator(s) / reference(s)
Dr. Larysa Visengeriyeva, Anja Kammer, Isabel Bär, Alexander Kniesz, Michael Plöd, Sebastian Eberstaller.
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Model Deployment

Contributors
Total time needed: ~50 minutes
Objectives
Learn about machine learning model deployment
Potential Use Cases
Deploying machine learning models
Who is This For ?
BEGINNER
Click on each of the following annotated items to see details.
ARTICLE 1. Why you Might Want to use Machine Learning
  • What are the challenges with MLOps?
10 minutes
ARTICLE 2. Pickle your model in Python
  • How to package machine learning model?
5 minutes
ARTICLE 3. Three Levels of ML Software
  • What is Model Serving?
20 minutes
ARTICLE 4. Machine Learning Model Deployment in Docker using Flask
  • How to deploy model with Docker and Flask?
15 minutes

Concepts Covered

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