Presentation: Open Source Tools to Build ML Into Your Apps

Track: Sponsored Solutions Track II

Location: Shubert - Uris, 6th fl.

Duration: 11:50am - 12:40pm

Day of week: Tuesday


Machine learning (ML) is becoming a significant part of an organization's strategic direction and a critical tool to deliver insights and automation. In this talk, we’ll explore the growing number of open source tools available to leverage ML in languages like Python, Go and others. We’ll dive into the usage of popular packages like Keras and Tensorflow and then walk through integrating and deploying them into a simple application to demonstrate how robust and accessible these tools have become. Learn how both developers and data-scientists can utilize the wide array of high quality, mature open source tools to incorporate and deploy machine-learning algorithms in your next applications.

Speaker: Pete Garcin

Developer Evangelist

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. As Developer Evangelist at ActiveState, he’s passionate about engaging with open source communities and dedicated to enhancing developers’ experiences with ActiveState products.

Find Pete Garcin at


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