Track: Machine Learning for Developers

Location: Soho Complex, 7th fl.

Day of week: Monday

Machine learning is more approachable than ever. Learn techniques and use cases with PyTorch, Keras and TensorFlow that will become foundational for moderan application developers.

Track Host: Wes Reisz

QCon Chair, Community Advocate & Adjunct Professor University of Louisville

Wesley Reisz is the QCon Chair and Community Advocate. Before joining the QCon Team, Wes spent 14 years with HP as an Enterprise Architect. Wes’ primary roles supported the US Army’s Human Resources Command (HRC), Army Recruiting Command, and Army Cadet Support Program. At HRC, Wes was known for championing, building, and deploying open source portals for the US Army, prototyping mobile applications, and architecting large-scale Java systems to support the business of Army Recruiting. Additionally, Wes is an adjunct faculty member at the University of Louisville. Since 2002, Wes has taught 400-level web architecture, mobile development, and programming course to undergraduates.


Monday, 24 June

Tuesday, 25 June

Wednesday, 26 June

  • Architecting For Failure

    More than just building software, building deployable production ready software in the face of guaranteed failure.

  • 21st Century Languages

    Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.

  • Building High-Performing Teams

    What “high-performing team” means and how to build one effectively depends on context. This track will share different experiences of building high-performing teams in order to highlight how different contexts lead to different solutions but also what typically stays the same because we’re still dealing with humans trying to work together. How do different forces affect the building of high-performing teams.

  • Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond

    Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.

  • High-Performance Computing: Lessons from FinTech & AdTech

    Killing latency and getting the most out of your hardware.