Data Science for Software Engineers

Conrad Kennington
9:45-11:00, Hatch D

Abstract

In 2016, I presented "Machine Learning 101" at Boise Code Camp. Three years later, this subfield of artificial intelligence has exploded in use and popularity. Companies are grappling with a new frontier, enticing and hiring data scientists to extract and monetize value in their data. Inevitably, software engineers are asked to assist or lead in these efforts. How do you, a software engineer, make this transition? How do you hire your first data scientist, and organize your team? How do you scale machine learning, take a model, and put it in production? How do you even know if it's a viable direction for your company? This talk is to help software engineers navigate these issues.

Presenter Bio

I currently lead the development efforts on the AI and Machine Learning team at Kount, a real-time fraud prevention SaaS company in downtown Boise. I’ve been with Kount for 12 years, and was part of the initial core development team. In my spare time I teach senior and graduate classes on web development at Boise State University as an adjunct professor. I earned my Masters Degree in Computer Science from Boise State University in 2006.

LinkedIn:
https://www.linkedin.com/in/conrad-kennington-241b133/
GitHub:
https://github.com/ckennington