Let’s build a simple machine learning training pipeline using ML.NET 2.0 and Polyglot Notebooks to explore machine learning in .NET with F#
Let’s take a look at how ML.NET 2.0’s new Text Transformer features can be used to perform multi-class classification and map utterances to intents.
Please don’t call the police. I’m not really turning my dog into a cyborg. I’m just playing around with AI capabilities in a C# app.
Quickenshtein reduces the barriers to entry in getting started with Levenshtein distance by providing an intuitive, efficient, and fast open source .NET library.
Text to speech lets us build immersive applications that speak to the user using natural-sounding voices in a wide variety of languages and regions. Let’s see how it works with some simple C# code.