Machine learning with F# and Accord.NET at DevDay 2015

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#. About the speaker Alena Dzenisenka 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…

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