Hey r/learnmachinelearning
I'm writing this short post in response to this infographic post, The 4 Stages of Machine Learning. I basically replied to it saying that it encapsulates reasonably well ML in a research context, but not so much the greater problem of production ML systems. People asked me to expand on that so here it is.
What's my experience with production ML? Pretty limited, but my very short time in it has been eye-opening. I started a year long data engineering internship with Zendesk's ML product team in November 2016. It's the team that posted Serving Tensorflow in Production at Zendesk recently. Our product is [Automatic Answers](https://www.zend