Track: Applied AI & Machine Learning

Day of week: Wednesday

Machine learning will soon have a profound effect on every industry on the planet. This revitalized wave generates huge demands and challenges for software developers with this expertise. The Practical Machine Learning track will focus on how developers can successfully build real world machine learning models based on the proven techniques using viable APIs and frameworks. Since its critical to using machine learning in our applications, we’ll also cover the best practices for collecting and preprocessing data, choosing and building models; these are some of the biggest challenges in putting machine learning in production.

Track Host: Wesley Reisz

Software Technical Adviser @C4Media, previously Principal Architect @HPE

Wesley Reisz is the QCon Chair && Community Advocate for London, San Francisco, and New York. Before joining C4Media, Wes spent 14 years with HP and was an Enterprise Systems Design Lead for HP Enterprise Systems. As an HP Solution Architect, Wes’ primary roles supported the US Army’s Human Resources Command (HRC), Army Recruiting Command, and Army Cadet Support Program based at Fort Knox, Kentucky. At HRC, Wes was known for championing, building, and deploying open source portals for the US Army and helping Army recruiting prototype mobile applications. Additionally, Wes is an adjunct faculty member at the University of Louisville where he teaches a variety of 400-level courses including Web Architecture and Mobile Application Development.

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