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Machine Learning can be overwhelming to introduce into your products. Introducing machine learning in small steps focusing on quick wins can help a business get its footing in Machine Learning. In this talk, I will share the typical steps that I take to introduce a business to Machine Learning with the goal of developing an internal Machine Learning competency. You'll leave with some ideas of how to get started with lower risk machine learning additions to your product, proving out, and build up to more complicated machine learning additions.
TARGET AUDIENCE: Developers, Senior Developers, Architects, Technical Leaders

Speaker: Cameron Vetter

Cameron Vetter is a technologist with 20 years of experience using Microsoft tools and technologies to develop software. Cameron has experience in many roles including Development, Architecture, Infrastructure, Management, and Leadership roles. He recently received his second Microsoft MVP award for his evangelism work around Deep Learning in Azure. He has worked for some of the largest companies in the world as well as small companies getting a breadth of experience helping him understand the needs of different size businesses and different Industries. Cameron is the Principal Architect at the Octavian Technology Group, where he helps clients develop Technical Strategies. He also helps clients Architect, Design, and Develop software focusing on Deep Learning / Machine Learning, Cloud Architecture, Mixed Reality, and Azure.

Agenda:

6:45 PM: Introductions / open discussion
7:00 PM: Stepping Stones to Bring Machine Learning to your Products
8:30 PM: Q&A and wrap-up

Raffles:

  • JetBrains
  • PostSharp

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