We're excited to announce today the release of ML.NET 0.7 – the latest release of the cross-platform and open source machine learning framework for .NET developers (ML.NET 0.1 was released at //Build 2018). This release focuses on enabling better support for recommendation based ML tasks, enabling anomaly detection, enhancing the customizability of the machine learning pipelines, enabling using ML.NET in x86 apps, and more. This blog post provides details about the following topics in the ML.NET 0.7 release: 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 Enhanced support for recommendation tasks with Matrix Factorization Recommender systems enable producing a list of recommendations for products in a catalog, songs, movies, and more. We have improved support for creating recommender systems in ML.


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