Friday 18th September, 2015
2:50pm to 3:35pm
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 and C#.
This person is speaking at this event.
Software Architect, Researcher
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.
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