Practical Machine Learning Workshop with Barclays Eagle Labs

The term "Machine Learning" or "AI" is fairly well understood by a lot of people but when it comes to actually building a machine learning model and applying it to real data, what does that mean, how is that done?

We generally know you create these models by training them, but what do we train? What do I end up with after a model has been trained? 

Using no-code we will create a Machine Learning model from data. We will see how IBM Auto AI performs the complex role of a data scientist. Critically we will then be able to see what this abstract idea of a Machine Learning model looks like, and how it can be practically used.

If you want to follow along that would be great but you will need to be ready to go with an IBM Cloud Account and some knowledge of getting around the Cloud dashboard from the start as there will be limited scope for 1 to 1 help.

What you will learn by attending: 

1. How to take data and build a machine learning model from it using IBM Auto AI. 

2. How to deploy that model so it can be used securely and at scale. 

3. How to test that model. 

4. How to call that model from your code/your app/system.

Speaker: 

Tim Minter is a Cloud Architect and Developer Advocate working with IBM Business Partners to turn their ideas into products and services. With a background in electronics, he builds compelling demos and proof of concepts using both cloud services and physical devices. He has led the Ops teams of a blue-chip company and been a developer, lead architect, and technical consultant at IBM. Outside of work, he is an electronic artist creating kinetic and light installations from data.