Building Machine Learning Web Applications

October 1st, 2020

Often people who know how to train and test Machine Learning models don't know how to deploy them to real production systems. That's a big knowledge gap that will prevent many from realizing the full value of their models. In this course we show how to not only train and test Machine Learning models, but also how to make the operational for real-world use. By the end of the course, you'll be able to deploy APIs that produce real-time predictions that you can request through HTTP calls.


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AUTHOR
I help companies through digital transformations by designing and developing systems that improve human decision making with data, cloud, software, and mathematics (Machine Learning, Operations Research, Statistics). I also enjoy coaching teams and publishing content on Smart Automation.

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