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Build and Host Real-world Machine Learning Services from Scratch


Day 1, R2 13:00–13:45

As Python has become the most popular programming language for research, it is quite easy to clone the source code from state of the art machine learning projects, and then run the demos in your well-prepared local environments.

However, is it easy to turn these demos into production-ready services? How can you make them sustainable? What actual challenges may you face?

In this talk, I will share a story about how we leverage the power of Python to build computer vision services for customers, and further improve these services through a self-designed machine learning pipeline.


Speaker: 曾君宇

Joe (就是那個最近一直沒有好好辦台南拍的傢伙 QQ)


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