Pick up a book on Machine learning and it will explain the process for machine learning, many citing CRISP-DM as the ideal process. CRISP-DM is an iterative approach to Data Mining. It starts with business understanding the flows to data understanding, data preparation, modelling, evaluation, then either loops back around or is deployed.
How it is deployed, well no one ever tells you that! Well, I want to talk about it!
In this full-day session we will build a series of basic models and promote them into production. This will be an interactive session, so make sure you have your laptop with you. As we go through the day we will talk about the following:
Sounds awesome right? My intention is to show you a method for deploying machine learning models.
We will do this by looking at the following tech stack:
We will use a composition of other languages as we go. All the scripts we will use will be available on GitHub for you to follow along.
At the end of the day we will have built a simple model and deployed it. You will take away a tried and tested architecture for deploying a model in to production. I will demo a method for deploying changes to your model using DevOps.