Machine learning the F# way
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Data science and machine learning are rapidly growing fields that focus on extracting insights from data. But what actually hides behind the buzz words? In this talk I'll use data science tools in F# to analyse live information from social media. You'll see how F# simplifies data processing tasks and seamlessly integrates different steps of the analysis, and you'll also learn about ideas behind interesting machine learning algorithms, including deep neural networks.
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- Functional Concurrency in .NET with C# & F# with Riccardo Terrell (in London on 20th - 21st September 2018)
- Fast Track to F# with Tomas Petricek & Phil Trelford (in London on 6th - 7th December 2018)
- Kubernetes: Master Application Deployment and Scaling with Daniele Polencic (in London on 13th - 14th December 2018)
Thanks to our sponsors
Machine learning the F# way
Evelina Gabasova
Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. When not at work, she likes to play with fun datasets to extract interesting insights.
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SkillsCast
Please log in to watch this conference skillscast.
Data science and machine learning are rapidly growing fields that focus on extracting insights from data. But what actually hides behind the buzz words? In this talk I'll use data science tools in F# to analyse live information from social media. You'll see how F# simplifies data processing tasks and seamlessly integrates different steps of the analysis, and you'll also learn about ideas behind interesting machine learning algorithms, including deep neural networks.
YOU MAY ALSO LIKE:
- Functional Concurrency in .NET with C# & F# with Riccardo Terrell (in London on 20th - 21st September 2018)
- Fast Track to F# with Tomas Petricek & Phil Trelford (in London on 6th - 7th December 2018)
- Kubernetes: Master Application Deployment and Scaling with Daniele Polencic (in London on 13th - 14th December 2018)
Thanks to our sponsors
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About the Speaker
Machine learning the F# way
Evelina Gabasova
Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. When not at work, she likes to play with fun datasets to extract interesting insights.