Jon Wood shows us how to use ML.NET within the Microsoft Bot Framework to make predictions on a machine learning model.
Jon Wood shows us how to link your Azure Databricks Notebooks with a GitHub repository.
Jon Wood shows us several things you can do with your data using the new DataFrame API in C#.
DataFrame Playlist – https://www.youtube.com/playlist?list=PLl_upHIj19Zysihecv_btbwzRQD2qrbJM
Jon Wood demonstrates how to use ML.NET within Python by using the NimbusML package. This video also gives an example of creating a linear regression model.
NimbusML documentation – https://docs.microsoft.com/en-us/nimbusml/overview
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.
More great stuff by Jon:
- ML.NET Transforms playlist
- ML.NET Playlist
Jon Wood has just posted this video on how to use ML.NET to remove stop words in text data.
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.