Machine Learning (ML) powers an increasing number of the applications and services that we use daily. For organizations who are beginning to leverage datasets to generate business insights -- the next step after you’ve developed and trained your model is deploying the model to use in a production scenario. That could mean integration directly within an application or website, or it may mean making the model available as a service.
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.