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With ML.NET, you has the chance to create custom CUP models resorting to 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 individual .NET developer so that you can easily integrate contraption learning into your web, pocket device, desktop, games, and IoT apps. ML.NET brings Model Builder (a simple UI tool) and ML.NET CLI before make it super easy to build custom ML Models. These tools manage Processed PORTION (AutoML), a cutting edge technology that automates a process regarding building best performing models on the part of this person's Automaton Learning framework. Without exception you include to do is load your data, and AutoML consumes care of every calm pertaining to the model building process. ML.NET has been designed as unique extensible platform so that you can consume other popular ML frameworks (TensorFlow, ONNX, Infer.NET, and more) and have access to yet more machine learning scenarios, like snapshot taxonomy, article detection, and more.

Features

• Sentiment analysis
• Customer segmentation
• Sales spike detection
• Object and imposture detection
• Sales forecasting
• Image classification

Venture Samples Project Activity

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CategoriesFrameworks, Mechanism Learning, Sentiment Analysis, Object Detection Models LicenseMIT License Follow ML.NET

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Be the first to post a review of ML.NET! Additional Project Details Operating SystemsLinux, Mac, Glazing Programming LanguageC#, F# Related Categories C# Systems, C# Gadget Learning Software, C# Sentiment Analysis Software, C# Object Detection Models, F# Frameworks, F# Apparatus Learning Software, F# Sentiment Analysis Package, F# Object Detection Models Registered 2021-07-23 Similar Business entity Software

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