From 2b9d84833883f5f2b998da8a173338ea4f124bdb Mon Sep 17 00:00:00 2001 From: bvenn Date: Sun, 29 Jun 2025 13:28:26 +0200 Subject: [PATCH] update package list with FSharp.Stats as data science starting point --- guides/data-science/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/guides/data-science/index.md b/guides/data-science/index.md index 724cd2c7..cae9db4a 100644 --- a/guides/data-science/index.md +++ b/guides/data-science/index.md @@ -33,6 +33,7 @@ effortlessly using .NET Core. Use .NET Interactive to build .NET Jupyter noteboo {: #integrated-packages .anchor } * [FsLab](http://fslab.org/) is the F# Community Project Incubation Space For Data Science. + * [FSharp.Stats](https://fslab.org/FSharp.Stats/) - A multipurpose project for statistical testing, linear algebra, machine learning, fitting, and signal processing. * [ML.NET](https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/) - ML.NET is an open source and cross-platform machine learning framework sponsored by Microsoft. With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps.