Past Meetup

Machine learning with F# and Accord.NET

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Machine learning is gaining momentum with the increase of necessity to understand data much more efficiently, to predict better for competitive profit and research. In this talk we'll run over various machine learning algorithms available in the Accord.NET - a framework for machine learning and scientific computing in .NET. We'll also have a look at sample tasks to see how we can apply machine learning algorithms using Accord.NET framework with F# functional approach.


Alena Dzenisenka is a young researcher in the field of theoretical mathematical abstractions and innovative algorithmic models possible in modern programming concepts. She is a member of F# Software Foundation Board of Trustees. Alena currently works as a Software Architect at Luxoft and has more than 10 years of professional experience including complex distributed systems and cloud computing. She has become MCP at the age of 16. Alena teaches F# and speaks at international conferences.


6:30pm - Doors open / Pizza by TekSystems / Networking
7:00pm - News and announcements
7:10pm - Presentation
8:30pm - Wrapped Up


Please RSVP to attend. Thanks to for sponsoring the food! Bring your printed registration and show to security guard at door. The guard will escort groups back to the meeting room.