Mathias Brandewinder
Mathias Brandewinder has been writing software in C# for about 10 years, and loving every minute of it, except maybe for a few release days. He is an F# MVP, the author of "Machine Learning Projects for .NET Developers" (Apress), enjoys arguing about code and how to make it better, and gets very excited when discussing TDD or F#.
His other professional interests are applied math and probability. If you want to know more about him, you can check out his blog at or find him on Twitter as @brandewinder.
I'm speaking at...
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F# eXchange 2019
Two days in London
Find out how to productively use the power of F# to solve real-world software engineering problems at F# eXchange 2019, a conference for those in the F# community to share ideas and learn new concepts, tools and approaches using the F# language.
.net functional deep-dream neural-nets functional-programming fintech science fsharp fable dotnet
Talks I've Given
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Keynote: Deep Learning with CNTK and F#
Featuring Mathias Brandewinder
Deep Learning is a powerful and mysterious sounding Machine Learning technique. It is based on neural networks, and has shown impressive results in areas as different as computer vision, speech recognition, or automated language translation. And, with the recent release of the Microsoft Cognitive...
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Agile experiments in Machine Learning with F#
Featuring Mathias Brandewinder
Just like traditional applications development, machine learning involves writing code. One aspect where the two differ is the workflow. While software development follows a fairly linear process (design, develop, and deploy a feature), machine learning is a different beast. You work on a single...
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Here Be Dragons: Mapping the F# World
Featuring Mathias Brandewinder
Join Mathias Brandewinder in this Opening Keynote for #ProgFSharpLDN 2016!
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Making good predictions from many bad ones
Featuring Mathias Brandewinder
Making bad predictions is pretty easy. But what if you could find a way to take many simple and mediocre prediction models, and combine them into a meta-model that works better than the sum of its individual parts? This question is the focus of what Machine Learning people call Ensemble Methods....
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Building a Twitter bot with F#
Featuring Mathias Brandewinder
In this talk, I'll explain how I built that bot from the ground up, and present some of the techniques I used, which might be applicable more broadly:
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Treasures, Traps and F#
Featuring Mathias Brandewinder
In this hands-on workshop, we will drop an innocent and brainless creature in a world of traps and treasures, and write code to give it a brain and help it automatically learn winning strategies.
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Building an App!
Featuring Scott Wlaschin, Rachel Reese and Mathias Brandewinder
In the final session of the beginners track, you will be a complete app. There will be a choice of what you can build to suit your particular interest!
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Ham Or Spam - Hands on Machine Learning with Mathias Brandewinder
Featuring Mathias Brandewinder
In this session, we'll learn about the Naive Bayes classifier, and take a classic Machine Learning problem, recognizing Spam from Ham.
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Pac-Man Kata
Featuring Phil Trelford and Mathias Brandewinder
Join Phil Trelford and Mathias Brandewinder for this fun session on Pac-Man-Kata at #progfsharp!
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Machine Learning with F#
Featuring Phil Trelford and Mathias Brandewinder
Join Phil Telford and Mathias Brandewinder for this hands on session. In this tutorial Phil and Mathias will introduce practical Machine Learning techniques.