{"id":1517,"date":"2019-02-28T14:49:33","date_gmt":"2019-02-28T09:19:33","guid":{"rendered":"https:\/\/www.concettolabs.com\/blog\/?p=1517"},"modified":"2019-02-28T14:49:33","modified_gmt":"2019-02-28T09:19:33","slug":"machine-learning-made-net","status":"publish","type":"post","link":"https:\/\/websitelaravel.concettoprojects.com\/blog\/machine-learning-made-net\/","title":{"rendered":"ML.NET | Machine Learning Made For .NET"},"content":{"rendered":"

Machine Learning made for .NET<\/span><\/span> is usually considered to be an open-source as well as a cross-platform machine learning framework. This <\/span><\/span>Microsoft\u2019s ML.NET<\/span><\/span><\/a><\/span> is again well supported on macOS, Linux and also Windows. <\/span><\/span><\/p>\n

So, it is preferably known to be a very important <\/span><\/span>machine learning framework<\/b><\/span><\/span> that is built for the <\/span><\/span>.NET developers.<\/span><\/span> It is also possible to use your .NET as well as C# or F# skills in order to perfectly and easily integrate custom machine learning into your application. <\/span><\/span><\/p>\n

Thus, it does not require any sorts of prior expertise in effectively tuning or developing machine learning models. <\/span><\/span><\/p>\n

<\/span>What Is ML.NET?<\/span><\/h2>\n

The ML.NET is known to be an open-source machine learning framework that is created by Microsoft mainly for the .NET developer platform. So, it is an important cross-platform which runs on Linux, macOS as well as Windows. <\/span><\/span><\/p>\n

Due to the rising importance and popularity of the .NET, you can <\/span><\/span>hire ML.NET developers.<\/span><\/span> <\/b><\/p>\n

<\/span>Custom Machine Learning Models<\/span><\/h2>\n

This ML.NET is preferably used to integrate as well as develop some custom machine learning models into the .NET apps of any type such as mobile, web, gaming, desktop and also IoT. So, you should <\/span><\/span>hire .NET developer<\/a> <\/b><\/span><\/span><\/span>if you desire to ease the work. <\/span><\/span><\/p>\n

1. Extensible<\/b><\/span><\/span><\/p>\n

Mainly, the ML.NET consists of the machine learning libraries which are created by Microsoft Research. So, it can be used effectively by Microsoft products. <\/span><\/span><\/p>\n

Also, it is possible for you to leverage some other popular libraries such as CNTK, Accord.NET as well as TensorFlow through the extensible platform. <\/span><\/span><\/p>\n

2. Open Source<\/b><\/span><\/span><\/p>\n

ML.NET is usually backed by the .NET Foundation as it is open-source. This is the reason why it is currently in preview. <\/span><\/span><\/p>\n

3. Learning Pipelines<\/b><\/span><\/span><\/p>\n

ML.NET helps to combine transformations, data loading as well as model training mainly into a single pipeline. So, there are transformations effectively defined in your pipeline which are best applied to both your input data as well as your training data for the purpose of making predictions with your trained model.<\/span><\/span><\/p>\n

4. Load Data<\/b><\/span><\/span><\/p>\n

The followed mentioned kinds of data can be loaded into your pipeline by the help of ML.NET:<\/span><\/span><\/p>\n