Jon Wood shows us how to install the C# Jupyter Kernel and then uses it to build a ML.NET AutoML experiment with the DataFrame package.
Installation instructions – https://github.com/dotnet/try/issues/408#issue-487051763
Sample Notebook from Microsoft – https://github.com/dotnet/try/blob/master/NotebookExamples/csharp/Samples/HousingML.ipynb
Jon Wood has a video showing you how to scale numerical data using ML.NET to help you get better performance out of your machine learning algorithms.
Code – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/ScaleData/Program.cs
More great stuff by Jon:
Jon Wood has just posted this video on how to use ML.NET to remove stop words in text data.
Code is at – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/StopWords/Program.cs
Jon Wood has another great video on ML.NET, this time focusing on Tokenizing Text Data as part of an NLP.
The new DatabaseLoader in ML.NET was updated in the 1.4-preview version.
Jon Wood made this video to show you how to use it.
Jon Wood has created another video showing how to use ML.NET and the (currently) preview version of 1.4 to create a deep neural network model to classify images.
Jon Wood has another great video on how to save and load binary data in your ML.NET applications to build models against.
Binary data can give a performance boost when loading.
Jon Wood has another great video teaching you how to how to use ML.NET to perform transfer leaning from the Inception model built in Tensorflow.
In this video, Jon Wood explores the Video Indexer cognitive service.
The Video Indexer analyzes your videos to provide insights and extract data from raw video.
Jon Wood has just uploaded a video on using ML.NET in an Azure Function with an HTTP Trigger to perform predictions on a previously build ML.NET model.
Check it out!
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