{"id":24173,"date":"2019-08-21T08:00:51","date_gmt":"2019-08-21T15:00:51","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/dotnet\/?p=24173"},"modified":"2019-08-21T08:05:03","modified_gmt":"2019-08-21T15:05:03","slug":"hey-net-have-you-tried-ml-net","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/dotnet\/hey-net-have-you-tried-ml-net\/","title":{"rendered":"Hey .NET! Have you tried ML.NET?"},"content":{"rendered":"<p class=\"code-line code-line code-active-line\" data-line=\"2\"><a title=\"http:\/\/dot.net\/ml\" href=\"http:\/\/dot.net\/ml\">ML.NET<\/a>\u00a0is an open source and cross-platform machine learning framework made for .NET developers.<\/p>\n<p class=\"code-line code-line code-active-line\" data-line=\"2\">Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more.<\/p>\n<p class=\"code-line code-line\" data-line=\"4\"><a href=\"https:\/\/devblogs.microsoft.com\/dotnet\/announcing-ml-net-1-0\/\">ML.NET 1.0 was released at \/\/Build 2019<\/a>, and since then the team has been working hard on adding more features and capabilities.<\/p>\n<p>Through the survey below, we would love to get feedback on how we can make your journey to infuse Machine Learning in your apps easier with .NET.<\/p>\n<p data-line=\"4\">Help shape and improve ML.NET for your needs by taking the short survey below!<\/p>\n<p data-line=\"4\">\u00a0 \u00a0<span style=\"font-size: 24pt;\"><a href=\"https:\/\/www.research.net\/r\/FPGS3FG\" target=\"_blank\" rel=\"noopener noreferrer\">Take survey!<\/a><\/span><\/p>\n<p style=\"text-align: left;\" data-line=\"4\"><a href=\"https:\/\/www.research.net\/r\/FPGS3FG\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/msdnshared.blob.core.windows.net\/media\/2018\/07\/feedback.svg\" alt=\"\" width=\"261\" height=\"120\" \/><\/a><\/p>\n<div>\n<div style=\"text-align: left;\"><\/div>\n<\/div>\n<div style=\"text-align: left;\"><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>ML.NET\u00a0is an open source and cross-platform machine learning framework made for .NET developers. Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more. ML.NET 1.0 was released at \/\/Build 2019, and since then the team has been working hard on adding [&hellip;]<\/p>\n","protected":false},"author":721,"featured_media":22354,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[328,688,691],"tags":[],"class_list":["post-24173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aiml","category-machine-learning","category-ml-dotnet"],"acf":[],"blog_post_summary":"<p>ML.NET\u00a0is an open source and cross-platform machine learning framework made for .NET developers. Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more. ML.NET 1.0 was released at \/\/Build 2019, and since then the team has been working hard on adding [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts\/24173","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/users\/721"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/comments?post=24173"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts\/24173\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/media\/22354"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/media?parent=24173"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/categories?post=24173"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/tags?post=24173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}