Beyond Python: You can also do Machine Learning with .NET

In the machine learning world, Python often dominates conversations as the go-to language. But what about other languages? I recently found myself a new book about a framework called ML.NET, which, as the name suggests, is for doing Machine Learning with .NET.

In “ML.NET for Machine Learning and Generative AI,” Fiodar Sazanavets does a great job breaking down the complex concepts behind machine learning and explaining how you can build real-world projects using the C# Programming Language.

In AI, I like that we can read and write content in other languages without learning such language. This is often also applied to programming languages. Although there’s a utility in learning new languages (programming or otherwise), I must also admit that simplifying things for people is a way of inclusion.

What I like most about Fiodar’s book is its many practical examples that address various use cases, from Training a Virtual assistant to Computer Vision and Making Sense of Images. These examples help you understand the theoretical concepts explained while you build and create your practical implementation.

Some readers may feel that the book assumes a certain level of familiarity with .NET development. If you need some resources, Microsoft Learn is the best one so far. You also have my practical course on C#:

This book is an excellent recommendation for .NET developers who want to explore machine learning without stepping into the Python ecosystem. I recommend it to anyone curious about ML.NET and how you can use this framework in modern ML software development.

If you want to know more about the book click here:

CC:

Manning Publications Co.

Fiodar Sazanavets