F# is a fascinating language that I admit that I haven’t spent much time beyond a cursory look.
Perhaps, I need to change that.
Jon Wood goes over his top 5 reasons why F# will be great for machine learning and data science projects in 2021.
Jon Wood explains Latent Dirilecht Allocation (LDA) in ML.NET.
Jon Wood introduces us to the Azure ML Service’s Designer to build your machine learning pipelines.
Jon Wood teaches us how to run Spark.NET inside a .NET Interactive notebook.
Once upon a time (2004 through 2008) I did a lot of Windows Forms development, affectionately known as “WinForms.”
Recently, I started slinging WinForm code again to work on building out OpenLiveWriter plugins. More on that in another post.
Despite the fact that WinForms isn’t exactly cutting edge, it remains popular and powerful. In fact, it can easily leverage some of the best modern AI tooling the world has to offer.
Jon Wood teaches us how to user ML.NET inside a WinForms desktop application.
Source Code
Jon Wood shows us how to use the new image classification command in the ML.NET CLI.
Jon Wood provides this crash course to show how to install and start using FsLab for data science.
Related Resources
Jon Wood interviews and asks questions to several people on the ML.NET team, including the future of ML.NET, its community, and some ways you can help out.
Jon Wood show us how to use ML.NET in an Event Hub consumer to get real-time data predictions.
Related resources:
Jon Wood shows us how to use ML.NET within the Microsoft Bot Framework to make predictions on a machine learning model.
Code – https://github.com/jwood803/MLNetExamples/tree/master/MLNetExamples/PredictionBot