
Hi!
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
References
My Posts
- Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!)
- API improvements in the new 0.6.0 version
- Fix the error [System. InvalidOperationException, Entry Point ‘ Not found] when you train a pipeline
- Adding NuGet Packages in Preview mode from MyGet, ie: Microsoft.ML-0.6.0 Version
- ML.Net 0.5 initial support for TensorFlow
- New version 0.4, news Improvements in Text analysis using Word Embedding
- Error ‘Entry point ‘Trainers.LightGbmClassifier’ not found’ and how to fix it
- Machine Learning Glossary of terms
- Export Machine Learning.Net models to ONNX format
- Loading Data In our Learning Pipeline With List (Lists for ever!)
- What’s new in version 0.2.0
- What’s a Machine Learning model? A 7 minute video as the best possible explanation
- Write and Load models using Machine Learning .Net
- Understanding the step by step of Hello World
- Hello World in ML.Net, Machine Learning for .Net !
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