Machine Learning made for .NET

ml_net

ML.NET is a machine learning framework built for .NET developers.

Use your .NET and C# or F# skills to easily integrate custom machine learning into your applications without any prior expertise in developing or tuning machine learning models.

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

ML.NET allows .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models, all in .NET.

ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more.

With this first preview release ML.NET enables ML tasks like classification (e.g. support text classification, sentiment analysis) and regression (e.g. price-prediction).

Along with these ML capabilities this first release of ML.NET also brings the first draft of .NET APIs for training models, using models for predictions, as well as the core components of this framework such as learning algorithms, transforms, and ML data structures.

To  learn more:  Microsoft Announcement

Source @GitHub    Samples @GitHub

Get started with ML.NET in 10 minutes @Microsoft

 

 

 

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.Net Core 2.0 Final Release

Microsoft has released the final version of .Net Core 2.0 yesterday and it is ready for production workloads. Along with this the following core frameworks are also announced on their general availability with their final releases.

ASP.NET Core 2.0

Entity Framework Core 2.0

.NET Standard 2.0

You can also watch the launch video on Channel 9 to see many of the new features in action.

To download the  .NET Core Framework, SDK and runtime visit here.

 

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Bootstrap 4 released!

Bootstrap is the world’s most popular framework for building responsive, mobile-first sites and applications. Inside you’ll find high quality HTML, CSS, and JavaScript to make starting any project easier than ever. Currently in alpha version, but you can try your hands as the source is available for you to download. Alternatively you can refer it from any CDN or download with your package manager.

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Royalty Free Images

Adding an appropriate picture to a presentation slide or a blog post can unquestionably increases the value of it and makes the context to be reminisced by the users more easily. But most of the times finding a royalty free images are a burdensome one. Here are some of the sites where you can find high quality royalty free images which can be used as per our wish without worrying about the licensing. Check these awesome sites that offers free high quality royalty free images.

https://www.pexels.com

https://pixabay.com

https://unsplash.com

Visual Studio Code

Code Editing. Redefined. Free. Open source. Runs everywhere.

Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Python, PHP, Go) and runtimes (such as .NET and Unity). Begin your journey with VS Code with these introductory videos.

Download it here.