#MLNET – New version 0.7 for Machine Learning.Net (the perfect excuse to update my content for next events!)

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A few days ago, the Machine Learning Net. team published a new version, 0.7. I have not had time to thoroughly review the novelties of this version, however, I will update my session and demos to version 0.7 for the next session on November 22 in Mississauga

Getting Started with Machine Learning.Net & Windows Machine Learning https://www.meetup.com/MississaugaNETUG/events/255916993/ .

Cesar de la Torre and the ML.Net team have published a full post with the novelties of ML.Net 0.7 https://blogs.msdn.microsoft.com/dotnet/2018/11/08/announcing-ml-net-0-7-machine-learning-net/ and I reshare the important bullets, to be updated on my contents:

  •     Enhanced support for recommendation tasks with Matrix Factorization
  •     Enabled anomaly detection scenarios – detecting unusual events rel
  •     Improved customizability of ML pipelines
  •     x86 support
  •     NimbusML – experimental Python bindings for ML.NET
  •     Get started with ML.NET v07

And, finally, we change the address for the next event on November 14: Artificial Intelligence and Machine Learning in Azure https://www.meetup.com/The-Azure-Group-Meetup/events/bvvjnpyxpbsb/ .

Happy coding!

Greetings @ Toronto

El Bruno


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