El Bruno

Buenas!

Hace unos días se publico la version 0.7 de Machine Learning .Net. No he tenido tiempo de repasar a fondo las novedades de esta version, sin embargo, tendré actualizada mi sesión y demos a la version 0.7 para la próxima sesión el próximo 22 de Noviembre en Mississauga

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

Pues bien, Cesar De la Torre y el equipo de ML.Net han publicado un post completo con las novedades de ML.Net 0.7 https://blogs.msdn.microsoft.com/dotnet/2018/11/08/announcing-ml-net-0-7-machine-learning-net/ y me apunto los puntos importantes del post para repasar esta semana

•     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

Y, por último, hemos cambiado la ubicación del evento Artificial Intelligence and Machine Learning in Azure https://www.meetup.com/The-Azure-Group-Meetup/events/bvvjnpyxpbsb/ del próximo 14 Noviembre.

Happy coding!

Saludos @ Toronto

El Bruno

References

• ML.Net Homepage
• Announcing ML.NET 0.7 (Machine Learning .NET)

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 !