Machine Learning Deployment: A Storm in a Teacup

Ekramul Hoque
Mar 10, 2019 · 6 min read

Deploy a machine learning model in 10 minutes with Flask, Docker, and Jenkins.

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Source: imgflip.com

EVALUATING OPTIONS

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Source: imgflip.com

ARCHITECTURAL COMPONENTS

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An overview of the deployment architecture
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Source : Roderick Bauer

THE DEPLOYMENT

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Source: lynda.com
git clone git@github.com:EkramulHoque/docker-jenkins-flask-tutorial.git
Code for model.py
Code for server.py
Video Tutorial depicting the deployment process

CONCLUSION

SFU Professional Master’s Program in Computer Science

This is an unofficial publication written and maintained by…

Ekramul Hoque

Written by

SFU Professional Master’s Program in Computer Science

This is an unofficial publication written and maintained by students in the Professional Master’s Program in the School of Computing Science at Simon Fraser University. To learn more about this unique program, please visit https://sfu.ca/computing/pmp

Ekramul Hoque

Written by

SFU Professional Master’s Program in Computer Science

This is an unofficial publication written and maintained by students in the Professional Master’s Program in the School of Computing Science at Simon Fraser University. To learn more about this unique program, please visit https://sfu.ca/computing/pmp

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