UI makes examples harder to understand.

[chaseaucoin]

Love the book, and the repo, but the examples have too much UI code especially for the basic examples. It takes focus away from actually learning how the varibles, properties, and engine work together because you have to slough through UI code and mentally parse whats there for machine learning and what is there for UI purposes.

[johnmwinn]

Thanks for the feedback. Are there particular chapters that you think suffer from this problem or is it throughout?

[ricardoV94]

I disagree. So far (up to chapter3) all examples and illustrations felt rather informative and intuitive.

[mzhukovs]

I agree with OP. I can only imagine that Ricardo is referring to the material in the eBook/pdf itself, which includes zero reference to the corresponding sample code (at least through the first 2 chapters, which is where I'm at). The material is fantastic, but navigating and tying it in with the code is quite difficult and made more complicated thanks to the UI elements.

To get closer to understanding the code itself, seems one just has to go through the Infer.NET documentation. After seeing this TOC (screenshot below) things make more sense, but it would be nice to work this information into this material as well, perhaps like you have "inference deep dive sections", there could also be "infer.net coding sections" that would go through how things translate into c#... would make it a lot more cohesive, and building the practical coding side alongside the theory/high-level overviews. Either way this is great stuff and I am excited to continue reading through it. Thanks to all the contributors.