In this session we’ll go through what Automated Machine Learning is, how to automate it’s deployment and how that in turn simplifies and thus democratizes AI for everyone. AutoML adds tremendous value for .NET developers, data analysts and, as Quoc Le the Lead Scientist at Google Brain Team says: It also adds a lot of value for data scientists. Imagine automating the deployment of it as well!
From a short high level overview of all the tools to picking the right tool for the job. The largest part of the session will be a live example of how anyone can actually start using these tools to get a model in production. As we go along, we’ll touch on how to avoid the pitfalls that naturally come with the automation of a complex process.
You’ll walk away with the knowledge and code to start Automating Machine Learning on your own data and delivering solutions at the speed of light.
Prerequisites: A high level understanding of Machine Learning is certainly helpful but not required.