When getting started with machine learning (ML) you need data -- and lots of it. Data really forms the foundation of your machine learning strategy and we’ll look at some of the considerations around data in machine learning. In a previous post we built a dog identification microservice in Python. We’ll consider that same use case here when looking at how we need to work with our data.
Developer Advocate. Pete has over 15 years in software development in both web and games having shipped over 40 titles in roles ranging from Programmer to Audio Director to Executive Producer. He earned his undergraduate degree at University of Waterloo, and an MA in Communication from Carleton University in Ottawa. He’s passionate about engaging with communities and dedicated to enhancing developers’ experiences with ActiveState products.