F# for the glory of Data Science

Track 4 | 16:35

What are Data Scientist need to be Absolutely Happy? Of course, data and the bigger, the better. And also a good tool for processing and analysis data, the possibility of interactive processing and many different visualizations.

For .NET such a tool is F#. In this talk, Roman along with an audience will look at language features that make it so attractive for Data Science, consider the most useful libraries for this purposes, and will look at some real-world use cases.

Basic F# knowledge can be useful, but not required.

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Roman Nevolin
Roman Nevolin nevoroman


Software engineer working with data in scientific projects in EPAM. Roman is engaged in research in the field of machine learning and developing its own machine learning tools.

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